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Event Preview - IBM Interconnect 2016

Event Preview - IBM Interconnect 2016

En route to IBM Connect in Las Vegas it is time to order some thoughts on where IBM stands in its move to the cloud and overall becoming more of a software company.
 
 
Let’s organize our thoughts from bottom up the tech stack, and focus on what matters to CxOs out there.
 
So take a look at the video:
 
 
If you don't have time to watch - read on:
 
Hardware - Yes hardware matters. Though not the feature at Connect, it is very much relevant, as IBM optimizes new offerings to run better on both its mainframe and Power platforms. These platforms matter more and more as Watson gets optimized for them.
 
IaaS - SoftLayer has been rolled out to 46 locations in 2015. Location matters for IaaS both from a performance and a compliance perspective. At this point SoftLayer / IBM Cloud is ahead of the competition by orders of magnitude. Many of its outsourcing opportunities are connected with the rollout, but at its core SoftLayer has one of the smallest defaulf pod sizes of all IaaS players, and that matters in the IaaS ‘monopoly’ game being played right now.
 
Watson - Watson remains key for IBM as a true differentiator in the cognitive computing area. IBM has achieved this without (yet) delivering overwhelming results to both customers and itself. A change in leadership may address this, the strategy is clear: A DaaS (Data as a Service, see the very recent Truven acquisition) combined with Watson strategy is very clear. Sometime IBM will license content, sometimes (see e.g. WeatherCompany) own it. 2016 will be key for IBM to deliver value for customers at scale, results for IBM as a vendor to keep Watson real. 
 
New offerings - There is room between IaaS and PaaS and IBM has come up with two new offerings, video services and blockchain. Video service matter to all cloud players, as video creates load, load creates economies of scale and those TCO advantages. IBM now has a viable offering for both on demand (Clearleap) and streaming video (UStream) and a new focus on video – we will see what it can make of it at Connect. And Blockchain is of course interesting technology for enterprises, mainly (for now) in the Financial sector - where - not surprisingly - IBM is one of the most active tech stack vendors working on Blockchain support.
 
BlueMix - IBM has been extending and building out BlueMix with remarkable discipline. The number of ‘hexagons’ is growing and a number of acquisitions makes the platform very attractive. The BlueMix Local offering is key and another testament how the traditional tech stack vendors are offering enterprises hybrid offerings (see Oracle, see Microsoft). It will be key to check in adoption and news about major projects running on BlueMix, as the product reaches 2+ years of age.
 
Community – IBM has done a lot of work for developer outreach, we will see that again at Connect. I am not sure how well IBM has done here though, as the competition is massive. I would like to see IBM create more value for its Rational developers (a Top 5 developer community) and actually focus more on executives. Many of the next generation application projects IBM wants and can compete on are executive decisions, once those are made, developers will come.
 

MyPOV

IBM Connect is always a great event to check the pulse of IBM’s software offerings - with customers, prospects, partners, developers etc.  an event not to mix. If you are there, don’t be shy – reach out to me – best on Twitter (@holgermu). 


More on IBM:

 
  • Site Visit - IBM Design Studio Austin - read here
  • MarketMoves - IBM strikes 3x in Fall - Cleversafe, The Weather Company and Gravitant - read here
  • News Analysis - IBM launches Industry's First Consulting Practice Dedicated to Cognitive Business - a good move it's early times - read more
  • News Analysis - IBM plans to acquire Cleversafe to propel Object Storage into the Hybrid Cloud >> a good move. Read here
    Market Move - IBM acquires StrongLoop - nodejs comes to BlueMix - read here
  • News Analysis - IBM and ARM Collaborate to Accelerate Delivery of Internet of Things - The IBM NextGenApps Stack emerges - read here
  • Progress Report - IBM Cloud makes good progress - but needs to attract more load - read here
  • Market Move - IBM gets into private cloud (services) with Blue Box acqusition - read here
  • Event Report - IBM InterConnect - IBM makes bets for the hybrid cloud - read here
  • First Take - IBM InterConnect Day #1 Keynote - BlueMix, SoftLayer and Watson - read here
  • News Analysis - IBM had a very good year in the cloud - 2015 will be key - read here
  • Event Report - IBM Insight 2014 - Is it all coming together for IBM in 2015? Or not? 
  • First Take - Top 3 Takeaways from IBM Insight Day 1 Keynote - read here
  • IBM and SAP partner for cloud - good move - read here
  • Event Report - IBM Enterprise - A lot of value for existing customers, but can IBM attract net new customers? Read here
  • Progress Report - The Mainframe is alive and kicking - but there is more in IBM STG - read here
  • News Analysis - IBM and Intel partner to make the cloud more secure - read here
  • Progress Report - IBM BigData an Analytics have a lot of potential - time to show it - read here
  • Event Report - What a difference a year makes - and off to a good start - read here
  • First Take - 3 Key Takeaways from IBM's Impact Conference - Day 1 Keynote - read here
  • Another week and another Billion - this week it's a BlueMix Paas - read here
  • First take - IBM makes Connection - introduces the TalentSuite at IBM Connect - read here
  • IBM kicks of cloud data center race in 2014 - read here
  • First Take - IBM Software Group's Analyst Insights - read here
  • Are we witnessing one of the largest cloud moves - so far? Read here
  • Why IBM acquired Softlayer - read here
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here
Tech Optimization Data to Decisions Digital Safety, Privacy & Cybersecurity Innovation & Product-led Growth Future of Work New C-Suite Next-Generation Customer Experience IBM SaaS PaaS IaaS Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP CCaaS UCaaS Collaboration Enterprise Service Chief Information Officer Chief Technology Officer Chief Digital Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Executive Officer Chief Operating Officer

Doing Something Really Interesting in IOT Customer Experience or Cloud Customer Service? Apply for a SuperNova Award!

Doing Something Really Interesting in IOT Customer Experience or Cloud Customer Service? Apply for a SuperNova Award!

The SuperNova Awards honor leaders that demonstrate excellence in the application and adoption of new and emerging technologies. This is the sixth year of the Constellation SuperNova Awards. Are you using IoT to create great, new customer experiences. Has the move to the cloud made your customer service more agile and the customer’s experience much better? If so, let us know. We want to hear your stories of using and developing:

  • IoT
    • IoT and creating awesome Customer Experiences
    • IoT and creating awesome Customer Service (Field Service)
    • IoT, the Customer Experience and its affects on Customer’s and Businesses Security/ Privacy
    • Using IoT to deliver smarter Marketing
  • Cloud
    • Using the Marketing Cloud to Increase Conversion, Targeting, Relevancy…
    • Using Customer Service Cloud to Service Customers Reactively, Proactively and Drive Marketing
    • Using the Customer Experience Cloud To Drive Awesome Customer Experiences
    • Using the Sales Cloud to Grow Win Ratios…

We will be recognizing nine individuals who demonstrate true leadership in digital business through their application of new and emerging technologies. We’re searching for leaders and teams who used disruptive technolgies to transform their organizations. Special recognition will be given to projects that seek to redefine how the enterprise uses technology on a large scale.

Are you really on the leading, bleeding edge? Then we are looking for you! If you are not on the edge, you are taking up too much room! We’re searching for the boldest, most transformative technology projects out there. If you or someone you know has what it takes to compete in the SuperNova Awards, fill out the application here

What’s the Timeline look like? I kinda hate to publish this, because everyone looks at it and thinks- Oh August – I have plenty of time! Don’t kid yourself. It takes time to not only do a great project but also document it! So don’t wait to the last minute… If you are up to something special, start jotting down your project info so you won’t be late with application submission!!! And make sure you have data to show your results!

  • February 8, 2016 application process begins.
  • August 8, 2016 last day for submissions.
  • September 7, 2016 finalists announced and invited to Connected Enterprise.
  • September 12, 2016 voting opens to the public
  • September 21, 2016 polls close
  • October 27, 2016 Winners announced, SuperNova Awards Gala Dinner at Connected Enterprise 

Why bother? There’s lots of Rewards! Besides getting to hang out with me :-) and a ton of other really outstanding and amazing leaders, and get to hear what the top companies in the world are doing, you’ll also get…

Wondering Who Are the Judges?

The judges are technology thought leaders, analysts, and journalists selected for their futurist mindset and ability to separate substance from hype. The SuperNova Award Judges carefully evaluate each SuperNova Award application against a rigorous set of criteria. Judges will identify individuals who demonstrate true leadership in the application and adoption of new and emerging technologies.  Want to catch a judge’s eye? Judges look for projects whose elements can be replicated in other enterprises. Want to know more about the awards and judges? You can learn more about the SuperNova Award Judges.

What Types of Projects or Inititatives Can Be Submitted? Here’s a list of the categories:

  •  Internet of Things – A network of smart objects enables smart services. (examples: sensors, smart ‘things’, device to purchase)
  •  Data to Decisions – Using data to make informed business decisions. (examples: big data, predictive analytics) 
  •  Digital Marketing Transformation – Personalized, data-driven digital marketing. 
  •  Future of Work: Social Business – The technologies enabling teams to work together efficiently. (examples: enterprise social networks, collaboration)
  •  Future of Work: Human Capital Management – Enabling your organization to utilize your workforce as an asset. (examples: talent management)
  •  Matrix Commerce – Commerce responds to changing realities from the supply chain to the storefront. (examples: digital retail, supply chain, payments, omni-channel retail)
  •  Next Generation Customer Experience – Customers in the digital age demand seamless service throughout all lifecycle stages and across all channels. (examples: crm, customer experience)
  •  Safety and Privacy – Strategies to secure sensitive data (examples: digital identity, information security, authentication)
  •  Technology Optimization & Innovation – Innovative methods to balance innovation and IT budgets. (examples: innovation in the cloud, ENSW cost savings, cloud ERP, efficient app production)

Who Won Last Year? I knew you would ask that, so here’s that info below. And they were all outstanding. Let’s see if you can beat what they did last year! We are really looking for the super stars. And you know who you are!

CoIT & The New C-Suite

Martin Brodbeck: CTO, Sterling Backcheck

*************************************************************************

Data to Decisions

Alda Mizaku: Lead Bus Solutions Analyst, Mercy

*************************************************************

Digital Marketing Transformation

Naveen Gunti: Senior Director of e-Commerce Technology and Operations, Tumi Holdings, Inc.

*************************************************************

Future of Work – Human Capital Management

Asha Aravindakshan: Operations Director, Global Talent, Ashoka

*************************************************************

Future of Work – Social Business

Steve Nava: Senior Director Field Service, Americas, Luminex

*************************************************************Matrix Commerce

Jordan Kivelstadt: CEO, Free Flow Wines

*************************************************************

Next Generation Customer Experience

Dan Wallis: Director of KP OnCall, Kaiser Permanente

*************************************************************

Technology Optimization & Innovation

Dr. David Bray: Chief Information Officer , Federal Communications Commissions

Erica Stevens: VP of Supply Chain and Information Technology, Dylan’s Candy Bar

So there’s your bar. It’s been set high, but I know you can top it! Go for it! Can’t wait to see you at  SuperNova Awards Gala Dinner at Connected Enterprise!!
 
@DrNatalie, VP and Principal Analyst, Constellation Research
Covering Customer-facing Applications That Make Amazing Customer Experiences
 

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Nissan Selects Microsoft Azure Cloud to Power Nissan Telematics System

Nissan Selects Microsoft Azure Cloud to Power Nissan Telematics System

How Do You Meet Customer Experience Expectations in Electric Vehicle’s? Start with the Cloud. Nissan Motor Co. Ltd. and Microsoft Corp.  announced that all Nissan LEAF models and Infiniti models in Europe will have Connect Telematics Systems (CTS) powered by Microsoft Azure. Since the Nissan LEAF’s launch in 2010, more than 200,000 have been sold worldwide, making it the world’s best-selling electric vehicle. Nissan selected Azure to meet customers’ expectations about in-vehicle mobility solutions, create additional ways to interact with their vehicles, and enhance safety.

What Do the Next Generation Of Customers Want In their Cars? Nissan knows. They design cars to meet the needs of the next generation of car buyers, the environmentally conscious “digital natives.” Having transformed the performance, practicality and public perception of EVs around the world since the LEAF’s launch, Nissan remains one of the leaders in EV technology. The connectivity to their owners and to the world around them makes electric cars more attractive and convenient. Maps, range prediction, charging station availability, charge status, plus all the services customers have come to expect when inside a vehicle are dependent on that connectivity. Azure provides a global cloud platform with cutting-edge security that allows Nissan to deliver services worldwide to this broad customer base.

How Does the Cloud and Nissan Work Together To Create Better Customer Experiences? Nissan CTS is coupled to Azure, allowing a remote connection to the vehicle. With CTS, Nissan LEAF drivers can perform a range of functions on their car, while not even inside. These include using mobile phones to turn on and adjust climate controls and set charging functions remotely even when the vehicle is powered down. An onboard timer can also be programmed to start the charging event.

What About The Cloud and Customer Privacy and Security vs Their Customer Experience? As countries and regulations become more stringent on data privacy and technology standards, Nissan and Microsoft are committed to investing in meeting regulatory standards around the globe. Nissan selected Azure because of its enterprise-grade security and compliance. Microsoft was the first major cloud provider to adopt the world’s first international cloud privacy standard, ISO 27018, providing another reason enterprise customers can move with confidence to Azure. Azure supports multiple operating systems, programming languages and tools, providing flexibility and choice for Nissan.

Why Is Voice Control In Cars So Important? With the standard Hands-Free Text Messaging Assistant for all Nissan LEAF around the world, drivers can manage incoming text messages via voice control without taking their hands from the wheel or their eyes off the road. Drivers are alerted to an incoming text and, after initiating the system, can hear the text read out loud and respond by voice, or via the steering wheel switches using preset answers such as “driving, can’t text,” “on my way,” “running late,” “okay.” These experiences are powered by the back-end connectivity and support of Azure.

Nissan can also send over-the-air “point of interest” (POI) updates as they become available, enabling customers to have the latest information as the company continues to refresh its services. Connectivity to Azure allows Nissan to bring new connected features to market faster and offer flexibility for the future.

How Does the Cloud Play in The Data Management Area? The partnership allows Nissan to tap into Microsoft’s deep expertise across critical areas such as data management and analytics. Azure offers Nissan the scale and commitment to security it needs to support its global operations. The expansive global footprint of Microsoft’s datacenters provides the coverage to support Nissan’s vehicles anywhere they are in the world.

Notes from the Executives: Celso Guiotoko, chief information officer and corporate vice president in charge of global corporate IS/IT, Nissan said, “Microsoft Azure will help us deliver a more innovative and intelligent future for our connected technologies. This is also a bold first step toward innovations that will realize future new mobility.”

Nissan’s connected platform powered by Azure is allowing Nissan to continue to provide its customers with exceptional value and add new services throughout the vehicle life cycle.

Peggy Johnson, executive vice president of business development, Microsoft said, “Our partnership with Nissan shows what automakers can accomplish by tapping into Microsoft’s intelligent cloud platform. Further, our collaboration reveals tremendous possibilities for how consumers can get more out of their connected driving experience.

 

My POV: As we become more accustomed to thinking about the cloud and the conveniences it brings to the automotive industry, something very near and dear to many American’s hearts, we see that the cloud and IoT are really transforming the way we will be traveling in the future, the very near and present future.

@DrNatalie Petouhoff, VP and Principal Analyst, Constellation Research

Covering Cloud and IoT That Drive Better Business Results and Awesome Customer Experiences

 

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Do You Have an Entrepreneurial Mindset?

Do You Have an Entrepreneurial Mindset?

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It’s Engineers Week! #eWeek2016 In celebration, I’m going to think (and post) this week on the idea of an entrepreneurial mindset. More than entrepreneurship, an entrepreneurial mindset supports innovation and value creation in personal work, team development, all across the range of small to massive organizations and freelanced careers. We all need an entrepreneurial mindset, whether or not we are going to start a business around our ideas.

KEEN

I first heard the term, entrepreneurial mindset, from my colleague Prof. Chris Kitts. Chris is the lead for our work with KEEN (Kern Entrepreneurial Engineering Network). The network was founded with resources and insights from The Kern Family Foundation.

The Kerns started their business in 1959, but at the end of their work careers they began to reflect on the attributes they found most important to their customers, community, and company. KEEN is a part of how the Kerns support education, character development, the value of work, and the development of an entrepreneurial mindset (and I thank them for funding the development of my Cultures of Innovation course).

The Kerns offer:

An entrepreneurial mindset consists of three key elements: Curiosity, Connections, and Creating Value. Entrepreneurially minded individuals:

  • have a constant curiosity about our changing world and employ a contrarian view of accepted solutions;
  • habitually connect information from many sources to gain insight and manage risk; and
  • create value for others from unexpected opportunities as well as persist through, and learn from, failure.”

Note that this is a broad definition and does not say that you have to go out and start a business. One point I’ve taken from Mr. Kern is how valuable people with an entrepreneurial mindset can be as they work inside a company. (For a later post, I’ll take on how organizations need to lead by letting go gain full value from their entrepreneurially minded employees.)

McGrath & MacMillan

The Kerns are not alone in their support of the entrepreneurial mindset. Professors Rita Gunther McGrath and Ian MacMillan, in their book, The Entrepreneurial Mindset, offer a pointed set of characteristics held by what they call “habitual entrepreneurs:”

  • They passionately seek new opportunities
  • They pursue opportunities with enormous discipline
  • They pursue only the very best opportunities
  • They focus on execution--specifically, adaptive execution (I love this point - ties to design thinking)
  • They engage the energies of everyone in their domain

Though I see these as more project oriented than the Kern descriptors, McGrath and MacMillan’s boundaries are also broad and valuable across a range of freelancers, start-up founders, teams, and organizations.

Are You?

We started with this question, “do you have an entrepreneurial mindset?” I hope you do! ...and I’d appreciate hearing examples of how such a mindset has played out in unique settings. What can you share? Be a part of Engineers Week 2016 and use #eWeek2016

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Privacy vs. Protection: What Type of Customer Experience Do Consumers Want?

Privacy vs. Protection: What Type of Customer Experience Do Consumers Want?

Congressman Ted Lieu (D-Los Angeles County) and author of  of the ENCRYPT ACT of 2016, said of statement regarding the APPLE court order:

“The terrorist attack in San Bernardino was horrific and the tragic loss of innocent lives demands a strong response.  I have several deep concerns, however, about the unprecedented court order that forces Apple to create software it does not have in order to provide a “back door” way to weaken its smartphone encryption system.

This FBI court order, by compelling a private sector company to write new software, is essentially making that company an arm of law-enforcement.   Private sector companies are not—and should not be—an arm of government or law enforcement.

This court order also begs the question: Where does this kind of coercion stop?  Can the government force Facebook to create software that provides analytic data on who is likely to be a criminal?  Can the government force Google to provide the names of all people who searched for the term ISIL?  Can the government force Amazon to write software that identifies who might be suspicious based on the books they ordered?

Forcing Apple to weaken its encryption system in this one case means the government can force Apple—or any other private sector company—to weaken encryption systems in all future cases.  This precedent-setting action will both weaken the privacy of Americans and hurt American businesses.  And how can the FBI ensure the software that it is forcing Apple to create won’t fall into the wrong hands?  Given the number of cyberbreaches in the federal government—including at the Department of Justice—the FBI cannot guarantee this back door software will not end up in the hands of hackers or other criminals.

The San Bernardino massacre was tragic but weakening our cyber security is not the answer – terrorism succeeds when it gets us to give up our liberties and change our way of life.  We can take common sense security measures without trampling on privacy rights.”

MY POV: As consumers we have to decide what is more important to our customer experience: privacy and / or protection. Is it possible to have both? It’s unfortunate that there exists in the world people who would mis-use information for evil.

Knowing that is so, what do you think companies like Apple or Google or Facebook should do? And how would their actions to allow the FBI to have the software they are requesting, affect your ability to trust that brand, to want to continue to buy from that brand and recommend the brand to others.

These are the things that make up customer lifetime value. Without CLTV, a company has no long-term value. These are not easy times or easy questions. It would be so much better if people with evil intent just knocked it off. Enough is enough. But that’s my point of view.

@DrNatalie, VP and Principal Analyst, Constellation Research

Covering Customer Facing Applications that Deliver Awesome Customer Experiences, While Protecting the Privacy and Security of Consumers and Businesses

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Spark Summit East Report: Enterprise Appeal Grows

Spark Summit East Report: Enterprise Appeal Grows

Spark adopters including Bloomberg, Comcast, Capital One and EBay share compelling use cases. Data processing, streaming and analytics use-case scenarios multiply.

What’s the business case for Apache Spark? After the opening (general-session) day of Spark Summit East 2016 in New York, I was thinking that Spark promoter and Summit host Databricks needed to do a better job of telling that story. Then on the final day, executives from Capital One, Synchronoss and eBay offered compelling, business-use-case focused keynotes that knocked it out of the park.

Inside Spark Summit East 2016

Chris D’Agostino, VP of Technology at Capital One, a top-ten bank and cutting-edge user of data and analytics, outlined the bank’s use of Spark to generate tabular and graph representations of data at high scale. These views of data are used in low-latency fraud-detection, anti-money-laundering and know-your-customer analyses.

Suren Nathan, senior director of Big Data Platforms and Analytics Frameworks at Synchronoss, a cloud services company, outlined four eras of data pipeline maturation. It started with the “V1” traditional ETL/data warehouse era and then moved on to the V2 appliance-assisted era (think Exadata and Netezza, with comparatively high costs yet lacking support for multi-structured data). In the V3 early Hadoop era we suffered with slow batch processing in MapReduce. In today’s V4 era, you get scale on Hadoop but also superior performance with support for both batch and streaming workloads thanks to Spark.

Seshu Adunuthula of eBay described how “the other e-commerce giant” is making use of Spark within its evolved enterprise data platform. eBay’s move into selling more new items at fixed prices (as opposed to used items through auctions) has led it to take a catalog-oriented, rather than search-oriented, approach. That has necessitated a more structured yet dynamic data modelling approach. eBay remains one of the largest users of Teradata in the world, but Adunuthula said the company is moving many workloads into Hadoop. Spark was added to support fast batch analysis and streaming-data services. “Once we introduced Spark, we saw rapid adoption, and now we’re seeing more and more use cases as adoption grows,” Adunuthula concluded.

The opening-day keynotes were offered by vendor execs who had mixed success in painting a big picture. IBM’s Anjul Bhambhri, VP, Big Data, came close, explaining that “the beauty of Spark is that all components [Spark SQL, Spark Streaming, Spark R, MLLib, etc.] work together in a seamless way. You don’t need half a dozen products; you need just one, foundational platform.”

Matai Zaharia, CTO of Databricks, stuck to detailing Apache Spark accomplishments in 2015 and reviewing new capabilities coming in Spark 2.0, set for release in late April or early May. Highlights of the coming release include whole-stage code generation aimed at improving Spark performance and throughput by as much as 10X. Spark Streaming improvements in 2.0 will support the common scenario of mixed streaming and batch workloads, as when you want to track the state of a stream while also firing off SQL queries. Finally, Spark’s DataFrame and Dataset APIs will be merged in 2.0, simplifying matters for developers by presenting fewer libraries and concepts to worry about.

Ali Ghodsi, co-founder and recently promoted to CEO of Databricks, confined his remarks to Databricks’ own services, highlighting the appeal of using Spark through the company’s cloud-based commercial offering. He also introduced a free (sandbox-scale) cloud-based Databricks Community Edition. This led to a demo by Databrick’s Michael Ambrust, who touted Databricks’ cloud offerings as a great way to avoid the pain of deploying Spark software.

MyPOV: With its cloud-based platform, Databricks competes, in a way, against the open-source software it helps to create and promote. Commercial companies behind open source software more typically support on-premises software deployments. Is it a coincidence that Spark customers and third parties including Cloudera and IBM seem to be carrying the load of making the case for enterprise Spark adoption? Plenty of Databricks execs offered technical presentations on Apache Spark software capabilities and roadmaps, but they were preaching to the choir. At Spark Summit East, Databricks missed a chance to be more of a champion of Apache Spark in the enterprise.

Thinking back, it took a partnership with O’Reilly to turn Hadoop World into Strata + Hadoop World, an event with a broader audience and a higher-level purpose. I’ll grand that much of what Databricks does to promote and contribute to a healthy Apache Spark ecosystem goes on behind the scenes. And you can’t argue with the project’s success. But it seems to me that Spark is ready for a bigger stage.

PS: Interesting tech seen at Spark Summit included h2o.ai, which supports distributed machine learning on Hadoop or Spark, and Data Robot, which automatically generates predictive models (using leading open-source algorithms in R, Python and Spark) and tests, validates and selects the most accurate ones, speeding predictive and easing the data science talent shortage.  Also interesting was SnappyData, a company recently spun out of Pivotal that has ported the open source Geode (formerly GemFire) in-memory, distributed database to run on Spark. It offers SQL querying in a persistent store that is part of/runs on Spark rather than requiring separate infrastructure.

The most talked about topic at Spark Summit NOT on the agenda or announced at the event was Apache Arrow, a new project which promises an in-memory, columnar data layer that can be shared by multiple open source projects, eliminating redundant infrastructure, cost and copies of data while enabling fast analytics across many workloads. The project launched with support from a whopping 13 open source projects, including Cassandra, Drill, Hadoop, HBase, Impala, Parquet, Pandas and Spark.


Data to Decisions Tech Optimization Chief Information Officer Chief Digital Officer

Do You Have a Digital Devil’s Advocate? You need one.

Do You Have a Digital Devil’s Advocate? You need one.

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Digital is truly transformational to an organizational ecosystem when it works, but it is increasingly becoming a potential disaster when it fails. The failure of digital will lead to the reduction in innovation. No-one wins with that environment.

When Digital fails and the customer experience is at best sub-optimal and at worst destructive it is usually due to key factors being overlooked, typically with inputs and implications not on the radar let alone measured correctly. In some instances of digital failure that capioIT has addressed in the past 6 months, the security division of the enterprise was not in alignment with Marketing or technology, for a security based solution, in others the legacy infrastructure was leveraged which was not flexible enough to prepare for the required digital solution.

Clearly most organisations have failed to consider the unintended consequences of digital. Even within such humble business areas as car parking, capioIT has identified major flaws in the execution of so called digital innovation because of the failure to take an end to end approach and think brutally about the implications.

If you or your organization believe digital is about simply enabling Cloud, or investing in Analytics, then you are seriously misguided. Digital has to be much more than that. As capioIT has regularly opined, Digital is much more than technology. Technology vendors and technology departments get too focused on defining it in technology terms, (SMAC being the worst example), and fail to identify it in regulatory, customer, or employee terms, as a result they fail to engage broader aspects of the business. (Insert link)

To avoid these negative outcomes of Digital, some of which can materially impact a share price, capioIT believes that a new role must emerge. That role is the Digital Devil’s Advocate. This role will become essential to enable it to cut through the internal issues and ensure that the unintended consequences or unknown unknowns are identified prior to flawed digital outcomes being dropped upon customers and stakeholders.

The Digital Devils Advocate will need to be across the business, optimistically cynical about all s/he is told, and not afraid to look under the hood, whilst bringing all parties together. He maybe an outsider, and in some instances will work best when s/he is an outsider to the industry. The clarity of a new perspective is critical.

Capture Point

In short, the Digital Devil’s Advocate is more than just a function of the Chief Strategy, Chief Technology or Chief Digital Officer. The role is rapidly becoming increasingly essential if organisations are going to maximize the value they create for Digital outcomes, rather than have to settle for sub-optimal and potentially negative outcomes which ultimately will denude innovation.


Digital Safety, Privacy & Cybersecurity Marketing Transformation Next-Generation Customer Experience Tech Optimization Innovation & Product-led Growth Future of Work Data to Decisions New C-Suite AI ML Machine Learning LLMs Agentic AI Generative AI Analytics Automation B2B B2C CX EX Employee Experience HR HCM business Marketing Metaverse developer SaaS PaaS IaaS Supply Chain Quantum Computing Growth Cloud Digital Transformation Disruptive Technology eCommerce Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP Leadership finance Social Healthcare VR CCaaS UCaaS Customer Service Content Management Collaboration M&A Enterprise Service Chief Digital Officer Chief Information Officer Chief Technology Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Executive Officer Chief Operating Officer

Corporate Products are threated with Disaggregation by IoT enabled Smart Services offering custom Re-Aggregation.

Corporate Products are threated with Disaggregation by IoT enabled Smart Services offering custom Re-Aggregation.

The Internet of Things has moved to the stage when hype is being replaced by visible market presence as in Smart Homes, or innovative Smart Services such as Uber. There are even examples of market disruption and transformation by global leaders such as John Deere, or General Electric. Yet significant numbers of business executives take comfort that there is no need to act using one of the following six statements that are demonstratively wrong;

1. The Internet of Things, IoT, is a just another title for Online or Digital Business, and is over hyped!

The last five years have left little doubt as to the value of Social CRM, SCM, in transforming relationships with customers, or potential customers. However by definition the relationship is with people, and their perceptions, as such it is an incomplete picture of the many factors that impact an Enterprise’s market. IoT adds to SCRM the ability to access and use huge amounts of data from sensors, devices, events and markets.

As an example, in travel, supply chain, or other similar activities, the environmental factors of weather, or traffic conditions, will all have a marked impact on outcomes. IoT supplied data aids efficient operations in a wide range of IoT sensed events that improve service levels and operational efficiency. In direct sales opportunities IoT can make the difference between knowing when and what to offer to make the right sales offer at the right time.

IoT is already adding competitive advantage to current business models and its dangerous to ignore this in favor of waiting for the signs of massive disruption. When this tipping point is reached it will be too late to gain the necessary experience and installed base to catch up.

2. Digital, or Smart, Services economy describes a shift to making more products available as Cloud based Services.

The term ‘Smart’ is used to describe a device that has intelligent multi functional capabilities beyond those original associated with previous generations of the device. As in the classification that a Smart Phone is functionally different to a Mobile Phone. The term is used in the same way when applied to Services to define interactive, intelligent capabilities to dynamically adapt and optimize automated responses.

This is a hugely important point that defines the competitive advantages that IOT technology brings to the Services market. The difference between a current passive Service based on content driven Web technology versus an IoT based Smart Service is easily explained by reference to the well known UBER taxi service. Many of the latest and most popular innovative Smart Phone Apps are actually IoT enabled Smart Services using a Smart Phone as an IoT sensor for position or other data.

A passive taxi booking Service entails completing a web content ‘form’ and sending it to the taxi company for manual matching with cab availabilities with a resulting time delay. In fact by the time the taxi arrives the customer may have been able to stop a passing cab as a quicker alternative to waiting resulting in loss business. UBER is a Smart Service because it provides real time matching and optimization using the IoT sensing of the various Smart Phones involved, (customer and cab drivers). Better responsiveness as well as easy of payment and other factors have transformed competitive factors in the Taxi market.

The arrival of IoT enabled Smart Services brings the lever of new competitive driven transformation of existing passive Services and Markets disrupting current business models. UBER is one example of a consumer Smart Service, but the same principle applies to Industrial Services such as maintenance of equipment. IoT enabled early detection of failure indications provides the opportunity for preventative maintenance by using a ‘Smart Service’ that can determine the likelihood of failure and automate orchestration of actions to fix. 

3. IoT Data is yet more data and will add to the use of Big Data analytics.

It is tempting to visualize IoT sensors as adding new sources to Big Data to use analytic tools as part of historic Data Analytics capabilities. Indeed this is quite possible, even desirable for some purposes, if the data is only to be used for improving current business operations. The near real-time responsiveness of IoT Smart Services interaction relies on the near real-time collating and analyzing data ‘on the fly’. The change in technique is accomplished by a new generation of ‘Event Engines’ that provide Complex Event Processing in an entirely different manner to current analytic tools.

The example of preventative maintenance for a machine requires Complex Event Processing of the data flows from multiple sensors to reach insightful conclusions, and launch appropriate actions to complete the outcome. Sensing increasing vibration, rising heat, and increased energy consumption in a motor is indicative of wear in a bearing, an IoT trigger event would occur when the three conditions reached a certain level at the same time. If the data from each sensor was seen in isolation it would be difficult to detect this in advance, similarly if the data was analyzed historically it might be too late to be preventative.

A modern car contains over 150 sensors; more complex machines such as aircraft, trains, even farm tractors all contain hundreds, even thousands of sensors incorporated by their manufacturers. The flow of data from these IoT sensors are enabling their manufacturers to transform their products into high value Smart Services, and build new Digital Business leadership. The leaders are rapidly establishing their IoT sensors into critical places and literally gaining a ‘built in’ advantage.

4. Talk of Sector Disruption and Market Transformation is an exaggeration and can’t see it happening.

The question of visibility also occurs with Social CRM, where a lack of personal skills and cultural engagement has left many CXO level executives mystified as to its use and role. The transformation of some leading Industry sectors is a reality often led by leading manufacturers implanting IoT sensors in their products to support their shift from products selling to more profitable and competitive Smart Services. Much quoted examples include the GE transformation from selling, financing, or maintaining Railroad engines into the provision of ‘Smart Operations’. Integration of sensors on all aspects of the engines, trains, and track enable GE to use Complex Event Processing to provide a variety of Smart Services. Railroad operators can choose to combine these services to compliment their own skills, or even to take an entire ‘Railroad as a Service’ operational package.

Competition in the Railroad industry is being transformed from focusing on building, selling, financing and maintaining individual pieces of hardware, to Smart Services operations using IoT sensing to change increase the business value of what is sold. GE openly talks of becoming one of the ten largest global software businesses in their own transformation into a Digital Smart Services business.

In farming John Deere have led a similar revolution towards ‘Precision Farming’ where real time operational data is used to optimize the treatment and use of soil to maximize cropping profitability. John Deere farm machinery is equipped with sensors to flow real time data on cultivation conditions being experiences as the basis for farmers ability to determine when, how and with what to do with their soils and crops. In an industry transformation move Myjohndeere.com platform allows all Agri-Businesses, seed, sprays, fertilizer etc. suppliers, to add their individual Smart Services and use the data and individually improve effectiveness in the use of their products.

The John Deere strategy is insightful as it changes competitive start-ups into becoming collaborators building a transformed new market using the John Deere platform reinforcing the John Deere brand in a new way. 

In other industry sectors such as Smart Homes, and soon Smart Cars, consumers are driving the transformation by making use of being able to choose Smart Services that match exactly their personal requirements, and reject corporate product bundles.

5. Only a handful of IoT Startups will become challengers and Industry Transformation will be achieved by current market leaders collaboration to develop new market standards.

The simple answer to this complacent point of view is to point to the transformation of the Mobile Phone market into the Smart Phone market, a transformation that destroyed the then market leaders such as Nokia, etc. Consumers have led the way in demonstrating how they would prefer to assemble (aggregate) their personal profile of Services rather than accept a standardized product. The App Shop model, the use of Smart Phones or Tablets, has already proven to be the model for the Smart Home, and the competition is rising for the Smart Automobile market as the next battle.

These are very visible market places, but the same fragmentation into ‘App Shop’ style mass markets for Smart Services based on the innovation and ideas of hundreds of startups is a feature of Digital Business models. As an example, analyzing Honeywell’s product range in the Building Controls industry identifies 31 startups specifically targeting one, or more, Honeywell products as part of the overall market disruption by IoT Smart Services. The new Digital Markets favor the new entrants as backed by massive capital investments, estimated to top $3 billion, their attack uses four prongs.

  • A wholly new set of “values” overturns traditional grounds for choice of product.
  • There are many startup players creating a wave of interest within the sector.
  • Smart apps delivered through smartphones and tablets are the user interfaces.
  • Considerable venture capital investments support these disruptive players.

Recent experiences show that within a few quarters, a new innovative Smart Service from an unknown startup has been catapulted into a scale of market awareness that conventional brand-based marketers could have only dreamt about. The democracy of the Internet allows the meritocracy of a product, (a digital service), to outperform previous alternatives, to be quickly recognized and promoted globally! Thanks to Digital Disruption the number of “black swans” (industry transformers), or “unicorns,” (achievers of a $1 billion valuation in a matter of a few years), has never been higher.

6. It’s Technology and the IT department will drive the Enterprise in respect of the role and use of IoT

It is an easy, but not necessarily correct, assumption that IoT will automatically be part of the role of IT department; more likely it will be part of the role transition of CIOs, and/or Chief Digital Officers. The role, and indeed term IT, was specifically defined around the development of Client-Server Enterprise Applications to automate the functions of an Enterprise back office. A role that was, and is, clearly defined as internal, secure and transactional process oriented. Accordingly the rise of the Internet itself, web, mobility and most recently Social CRM, SCRM, have all represented significant challenges to IT operational expertise due their very different externally nature in the Enterprise front office.

SCRM in particular has much in common with IoT, a point made earlier in this blog, but even after several years SCRM still sits uncomfortably, and often separately from IT departments. Its not just about the technology, it’s the business role that matters too, as SCRM has increasingly transformed customer interactions. IoT magnifies the SCRM impact driving Business disruption and shifts in the business model towards Smart Services. IoT and Smart Services are first and foremost a business management challenge to their competitive and market strategy and position.

IT departments are struggling for visibility and understanding of IoT as it has little in common with their current mandate. In time and maturity clearly the ‘one enterprise, one environment’ approach will develop but for now IoT and SCRM are the tools that Sales and Marketing, and Operational Management, are learning to master, resulting in IT departments lagging behind in IoT engagement.

The responses to these six common statements show the extent to which IoT is already disrupting and transforming Business and Markets

IoT is simple a reality as more and more devices of all types gain both processors and Internet connectivity and are shipped into every sector and market. A new set of capabilities has arrived, and is being put to use by those who understand the new capabilities. Taking the time to research competitive trends and players in any given market will identify the disruptive impacts already taking place. New Business values and competitive advantages from Smart Services have already made enough of an impact to ensure more than $3 billion of investment capital is supporting IoT based startups in their battle to take over existing markets.

Market leaders and their IT departments have mostly failed to monitor the startups and Smart Services activities closely enough to realize the threat they are on the brink of bringing to their business. The IT department, the traditional home of technology, is badly placed to lead the business transformation in the face of this new era of challenges and opportunities. There is still, just, time to get to grips with challenge!

New C-Suite

New Report: ROI Of Customer Service & Customer Experience

New Report: ROI Of Customer Service & Customer Experience

This report looks at how companies, using the right software, can gain ROI from Customer Service and Customer Experience. Customer Care as a cost center is an unfounded paradigm. In fact, executives have long thought of customer service or customer care as a cost center. However, this paradigm is and has always been false. Executives and managers know their businesses thrive on happy, satisfied customers and they understand the value of great customer service and customer experiences.  This paper looks at the paradigm of “customer care as a cost center” and shows that it is false. It also focuses on the areas of a business that can not only help the business reduce costs, but can generate more revenue when agile customer care solutions are used. This research is based on in-depth customer interviews and field research.
Incorrect Assumptions Lead Executives to Believe Customer Service Is a Cost Center 
There are a number of ways in which poor customer care can cost the organization. Unfortunately, executives who believe customer service is a cost center fail to understand the increase in expenses that arises from poorly implemented and costly customer service solutions. Some of the implications of poorly implemented customer care are:  
  • Deficiencies in achieving First Contact Resolution (FCR) 
  • Increases in Average Handle Time (AHT) for phone, email, chat and social media  
  • Inefficiencies in self-service, call deflection, agent-assisted related support costs and knowledge base capabilities  
  • Requirements to add staff to handle more customer calls or call spikes
  • Insufficiencies in shopping cart or in-game customer service capabilities
  • Failures in using customer feedback to improve processes or products.

Agile Customer Care Delivers High Return on Investment

If companies deploy customer care systems that are agile, then will receive many benefits. These include:

Screen Shot 2016-02-10 at 8.46.52 AM

Recommendations and the Bottom Line: Agile Customer Care Delivers ROI 
Companies looking to reduce their customer service costs should look to agile customer care solutions. Savings can be found from increasing FCR and self-service as well as decreasing average handle time. In addition, if the solution is used proactively by the organization, it can help with process improvements, product improvements and even lead to revenue generation. Companies contemplating an agile customer care solution should consider the following three steps:  Review current costs of running the contact and customer care center. Look at critical metrics like FCR, AHT, as well as the opportunity to generate revenue, improve marketing and enhance employee engagement. 
 
Compare current costs of a traditional customer care solution with the costs and benefits of an agile customer care solution. You want to write a requirements definition document that will specify what your use cases are, explain what pain points you want the software to solve and then write an RFI (request for information) and or follow up with an RFP (request for proposal). 
 Build a business case and a return on the investment model to show the value of switching to an agile customer care solution. As you interview vendors, make sure that they answer all your questions and you understand how the software will solve your business issues.
 
It’s time the paradigm that customer care is a cost-center be done with. It’s only a cost center if the software is difficult to use, poorly implemented, isn’t agile, requires a lot of training… If you are not getting the benefits and turning your contact center into a profit center, you’ll want to download the rest of the report here.
 
@DrNatalie, VP and Principal Analyst, Constellation Research
Covering Customer-Facing Applications that Deliver Awesome Customer Experiences

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News Analysis - Apache Software Foundation Announces Apache Arrow - BigData gets in-memory boost

News Analysis - Apache Software Foundation Announces Apache Arrow - BigData gets in-memory boost

This morning we learnt that the Apache Software Foundation has announced a new top level project - Apache Arrow. 

We think the announcement is important for the BigData and next gen Apps space, as it brings BigData into in memory and creates a exchange format for a large number of open source technologies that are critical for next generation applications. But let's take apart the press release in our customary style: 

Forest Hill, MD – UNDER EMBARGO UNTIL WEDNESDAY 17 Feb 2016 AT 7:00 AM ET -- The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today Apache Arrow as a new Top-Level Project.

MyPOV - Good to see activity at Apache all the way to a top level project.  

A high-performance cross-system data layer for columnar in-memory analytics, Apache Arrow provides the following benefits for Big Data workloads:
?        Accelerates the performance of various analytical workloads by more than 100x
?        Enables multi-system workloads by eliminating cross-system communication overhead 

MyPOV - Good summary what Apache Arrow does - it creates an efficient in memory format accelerating queries and - even more interestingly enables cross communication in memory - the fastest way this can be done today. It also means that a variety of open source projects who could benefit from an in memory representation of their data do not have to look any further. 

Initially seeded by code from the Apache Drill project, Apache Arrow was built on top of a number of Open Source collaborations, and establishes a de-facto standard for columnar in-memory processing and interchange.

MyPOV - An ambitious statement, but Apache Arrow is off to a good start to become the de facto standard for in memory processing and data interchange.  

“The Open Source community has joined forces on Apache Arrow,” said Jacques Nadeau, Vice President of Apache Arrow and Vice President Apache Drill. “Developers from 13 major Open Source Big Data projects are already on board --by introducing a new era of columnar in-memory analytics, we anticipate the majority of the world’s data will be processed through Arrow within the next few years.”

MyPOV - 13 open source projects on board with Apache Arrow must be some kind of record, even for the very collaborative open source community. The wide support gives proof to the attractiveness of the project and the trust put into the project leaders (see also below). 

Code committers to Apache Arrow include developers from Apache Big Data projects Calcite, Cassandra, Drill, Hadoop, HBase, Impala, Kudu (incubating), Parquet, Phoenix, Spark, and Storm as well as established and emerging Open Source projects such as Pandas and Ibis.

MyPOV - This reads like a who is who of BigData projects. Good for Arrow to see such wide support, but also testament that it has hit a jack pot in terms of desirability for these other projects. 

“Arrow’s cross platform and cross system strengths will enable Python and R to become first-class languages across the entire Big Data stack,” said Wes McKinney, creator of Pandas. 

MyPOV - Well, we will see it they become first class languages, but the key aspect is that Arrow is polyglot and gives new languages as well as established languages a chance to access data.

Apache Arrow accelerates analytical processing by providing a high performance columnar in-memory representation. A number of processing algorithms benefit greatly from this memory design.

MyPOV - No surprise, but also good to see that the creators have paid special attention to make Arrow perform well on CPUs, where the 'runner hits the road' for in memory.  

“A columnar in-memory data layer enables systems and applications to process data at full hardware speeds,” said Todd Lipcon, original Apache Kudu creator and Apache Arrow PMC. “Modern CPUs are designed to exploit data-level parallelism via vectorized operations and SIMD instructions. Arrow facilitates such processing.”

MyPOV - By realigning work and data to efficiently CPU utilization, Apache Arrow positions itself well to become the de facto in memory engine for many open source initiatives that don't have in memory capabilities yet. The better Arrow can used existing hardware the less likely the rise of any competing open source projects.  

In many workloads, 70-80% of CPU cycles are spent serializing and deserializing data. Arrow solves this problem by enabling data to be shared between systems and processes with no serialization, deserialization or memory copies.

MyPOV - The open nature of Arrow is making it an attractive in memory format that can be shared by multitude open sources players, which has a number of benefits: The projects don't need to build their own engines, the projects don't need to build integration interfaces to other projects and customers don't have to buy expensive hardware for storing data multiple times in memory and will benefit from a more efficient administration. 

“An industry-standard columnar in-memory data layer enables users to combine multiple systems, applications and programming languages in a single workload without the usual overhead,” said Ted Dunning, Vice President of the Apache Incubator and Apache Arrow PMC.

MyPOV - Well said by Dunning. Now we will have to see adoption becoming real in code and customer projects in the next months. 

In addition to traditional relational data, Arrow supports complex data with dynamic schemas. For example, Arrow can handle JSON data which is commonly used in IoT workloads, modern applications and log files. Implementations are also available (or underway) for a number of programming languages including Java, C++ and Python to allow greater interoperability among a number of Big Data solutions.

MyPOV - Arrow uniquely brings together in memory, columnar and support for complex eg JSON data types - a trifecta that is unusual and seldom achieved. Polyglot capabilities will make Arrow even more attractive to developers of next gen Apps.  

“Real world use cases often include complex combinations of structured and rapidly growing complex-data. Already tested with Apache Drill, the efficient in-memory columnar representation and processing in Arrow will enable users to enjoy the performance of columnar processing with the flexibility of JSON,” said Parth Chandra, Apache Drill PMC and Apache Arrow PMC.

MyPOV - Good to see Apache Drill on board.  

Catch Apache Arrow in action at Strata + Hadoop World (San Jose: 30 March 2016, and London: 1-3 June 2016), as well as upcoming MeetUps and local events http://arrow.apache.org/events

MyPOV - No surprise. Good timing.  

Availability and OversightApache Arrow software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Arrow, visit http://arrow.apache.org/

MyPOV - No surprise.

 

Overall MyPOV 

We witness a likely milestone on what can be done with BigData powering the creation of next generation Applications. In all seven universal uses cases of next generation Applications, BigData of the key underlying data technology. 

Finding a common and thus shared way to get into in memory is a major development, if successful will enable a whole new performance for modern application. While saving substantially on the hardware side, which means $s saved on machines, which can be invested into the software projects. 

As such Apache Arrow not only accelerstes next generation applications on a micro level, the project itself - but also on a macro level - funneling more investment into the projects on the software side. Apache Arrow is off to a great start, with the right charter, wide support and competent leadership in place. The latter always matters, but is even more importand in the open source community. We will be watching.  

[I typed this on a cruise ship, one of the last places where you get charged for Internet access by the minute, ol it comes over satellite. But no time for fancy formatting, will address when back on Terra Firma....].  
 
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