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Marketing Dividends – Is it Time to Re-evaluate Digital?

Marketing Dividends – Is it Time to Re-evaluate Digital?

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The promise of digital targeting has had marketers salivating for years. We would be able to identify, reach, engage and convert consumers one-to-one at scale thanks to technology. Better yet, with mobile devices, we could bring an offer to a consumer who was physically close to our retail outlet thanks to big data, mapping and location services.

Accordingly, substantial investments have been made in a wide variety of technologies from CRM and data mining, to automation, analysis and beyond. In fact, Scott Brinker’s infographic on the landscape of marketing technology (2016) suggests that there were almost 4000 marketing technology solutions vying for your attention and purchase. With so many choices, it’s hardly surprising that marketers wonder where to start with the MarTech stack.

But Byron Sharp, Professor of Marketing Science at the University of South Australia says that the promise of digital marketing is unfulfilled. Or perhaps, we have over stated the role of digital at the expense of brand. This video segment by the Australian Association of National Advertisers (AANA) touches on these topics, raising interesting challenges for us all.

Marketing Dividends Episode 10 featuring Byron Sharp, ?Professor of Marketing Science, ?University of South Australia

The final episode ?of the Marketing Dividends series presented by the AANA (Australian Association of National Advertisers with Byron Sharp) with Professor of Marketing Science, Director Ehrenberg-Bass Institute – ?University of South Australia. Marketing Dividends is a content series on SKY NEWS BUSINESS aimed at elevating the profession of marketing and explaining the value marketing brings to businesses and the wider economy.

Now, there is plenty that I could argue with. There is a huge assumption that analogue marketing metrics are/were valid, and also that marketers are not following through on data, analytics and measurement of business value. But these are quibbles – because the most interesting aspect of this interview is the refocusing of marketing towards strategy.

In many ways, the pursuit of digital marketing and technology has seen us become reliant on tactics masquerading as strategy. We put some technology in place and think that the strategy will magically be enabled.

But this is never the case. As Byron reminds us, “We are in a battle for attention – for physical and mental availability … people [consumers] just don’t think of you enough”. Segmentation, data and technology alone won’t solve that problem – only a tightly threaded strategy and approach to execution will. And that means doubling down on your marketing skills. So don’t just re-evaluate digital – re-evaluate your team and yourself.

Marketing Transformation Chief Marketing Officer

4 Memorable Digital Marketing & Sales Effectiveness Quotes

4 Memorable Digital Marketing & Sales Effectiveness Quotes

Even if you are not a natural disruptive thinker or leader, thinking creatively about innovation and and the role that technology plays can be easily stimulated by seeing a quick tweet, quote, or hearing a joke. After a quick online search, I found inspiring innovation quotes from current leaders and spotted general technology quotes like these. 

Business Insider - 27 Insights About Creativity That Every Entrepreneur Should Read
Forbes - 20 Great Technology Quotes to Inspire, Amaze, and Amuse

At Constellation Research, our analysts share ideas related to their business and disruptive technology research. In that context, the meaning of each quote, especially for business leaders interested in these topics, can be more useful and relevant than a generic one whether it's a quote about technology optimization, the increasing changes in the executive office, which we call "the new c-suite", or digital marketing and sales effectivess among many others.

We update these weekly for anyone interested in non-mainstream disruptive thinking from our seasoned Constellation analysts and keep an archive of the entire collection for our Constellation Executive Network members.

DOWNLOAD THIS WEEK'S ANALYST QUOTES - DIGITAL MARKETING & SALES EFFECTIVENESS - Cindy Zhou |  VP & Principal Analyst | Constellation Research 

"#CEO & Boards want predictability in the business. Embrace your inner #datascientist." - @cindy_zhou #CMO 

"Command of #marketing financial metrics helps change the #CEO perception from cost to growth center." - @cindy_zhou #CMO 

"It doesn’t matter if #sales or #marketing generated the lead, what matters is closing the deal." - @cindy_zhou @constellationr #CMO #CX

"Every great #CMO started somewhere. Build expertise, become known for it, then broaden skillset." - @cindy_zhou @constellationr 

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Connected Planning and Promising Account Based Solution Demonstrated at Anaplan Hub17

Connected Planning and Promising Account Based Solution Demonstrated at Anaplan Hub17

A few weeks ago in San Francisco, I attended my first Anaplan Hub conference along with over 1500 other attendees. This year’s Hub marked a new milestone for Anaplan with the debut of new President and CEO Frank Calderoni. A noted tech veteran, Calderoni previously served as the CFO of Red Hat and Cisco. In the keynote, Calderoni emphasized his commitment to deliver the promised innovation to customers with the company’s “significant” investment in R&D. Calderoni also cited that the company’s momentum is strong, adding 250 new customers in the last year. While Anaplan has broad business planning and modeling capabilities, I want to focus specifically on the sales performance management and marketing operations areas of their platform in this blog.
 
Anaplan has experienced solid traction in the financial and sales performance management arenas but their marketing operations planning capabilities have been in a supporting role. Often, the marketing use cases are uncovered after the platform is deployed in another department. According to Anaplan’s Chief Marketing Officer (CMO) Grant Halloran, the company’s sales performance management and commission modeling solutions are core but the marketing budgeting and planning solutions are gaining traction.
 
With the CMO’s budget increasing as they take on more responsibility along with a diverse mix of channels, geographies, verticals, etc. to support, solid planning is critical to their success. With ROI to justify, more CMOs need the insight required to cross-reference between what’s happening outside of marketing in sales, service, and finance. The common process for most mid-sized company's marketing departments involves running spreadsheets to manage a diverse mix of martech, adtech, campaign, and content spend. Unfortunately, spreadsheets just don't cut it anymore when looking to perform more complex marketing-to-sales forecasting. Anaplan’s marketing planning solution provides goal-based modeling and the ability to parse budget allocations with a broader view into the data from CRM, marketing automation, and finance systems.
 
From my vantage point, what I saw at the Hub event was planning software that bridges the sales and marketing divide, particularly with the preview I received on their upcoming account based marketing (ABM) solution. In my view, Account Based Marketing is beyond marketing, it requires the organization to align to what I’ll call an account based strategy (ABS) for marketing, sales, and service. The problem with most of the “ABM” solutions on the market are that they provide a specific view into a specific area of campaign execution, marketing engagement, ad placement, data augmentation, etc. Anaplan’s upcoming solution fills in the white space currently in the market by providing insight into how to plan and re-align budgets, territories, quotas, account distribution, to make an account-based strategy successful. Anaplan’s solution provides the ability to perform sales rep territory and quota planning by account, which helps ensure the alignment of compensation and fairness in account distribution. Account, engagement, and intent scores help provide insight into overall prospect close-viability and the ability to allocate budget by vertical, geography, etc. provides a method for marketers and sellers to determine if there’s enough money to fuel ABS activity. Anaplan’s solution looks like a good complement to the other ABM solutions out in the market. Please note that this was a pre-launch preview I received, but Anaplan’s been using the product in-house for their own marketing and sales efforts. As I hear more use cases with customers, I’ll update my findings.
 
Screenshot of account segmentation configuration courtesy of Anaplan
 
 
Screenshot of account segmentation to budget dashboard courtesy of Anaplan
 
Regarding Sales Performance Management, a few casual conversations I had with Anaplan customers during the conference highlighted their love of Anaplan's quota and commission management solution. One customer, a publicly traded multinational software and engineering services company, stated that with Anaplan they removed much of the headaches associated with territory division, account distribution, and sales commissioning. As a result, sales reps were paid two months faster than before. Through Anaplan’s integration with the company’s CRM solution, sales reps can see where they stand at any given moment and the sales ops team is no longer bombarded with questions.
 
Combine solid customer growth, a new CEO, and innovation such as this promising Account Based Planning solution, and Anaplan has the ingredients for continued growth to fuel the IPO buzz.
 
Finally, kudos to Anaplan for having one of the most inspiring keynote speakers I’ve come across in years of hosting and attending events, former NASA Astronaut and the first women of color in space, Dr. Mae Jemison. Dr. Jemison is an inspirational role model and I know her upcoming Lego figurine will propel more girls to enter STEM fields.
 
Below is a Storify collection of my tweets from Anaplan Hub17 and my colleague Doug Henschen, who has been covering Anaplan longer than I have, also wrote a great blog comparing this year’s Hub with prior year events. Read his thoughts here.
 
 
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NVIDIA Wants to Train 100,000 Developers in Deep Learning, AI this Year

NVIDIA Wants to Train 100,000 Developers in Deep Learning, AI this Year

Constellation Insights

GPU (graphical processing unit) maker NVIDIA launched the Deep Learning Institute one year ago, offering low-priced training to developers on a variety of AI and machine learning technologies. Now it has significantly ramped up its ambitions, saying it intends to train 100,000 coders this year, compared to 10,000 in 2016. Here are the key details from its announcement at the GPU Technology Conference:

The institute has trained developers around the world at sold-out public events and onsite training at companies such as Adobe, Alibaba and SAP; at government research institutions like the U.S. National Institutes of Health, National Institute of Science and Technology, and the Barcelona Supercomputing Center; and at institutes of higher learning such as Temasek Polytechnic Singapore and India Institute of Technology, Bombay.

In addition to instructor-led workshops, developers have on-demand access to training on the latest deep learning technology, using NVIDIA software and high-performance Amazon Web Services (AWS) EC2 P2 GPU instances in the cloud. 

Beyond reaching more developers, NVIDIA is adding to the Institute's curriculum. New areas of study include the application of deep learning for self-driving care, healcare, robotics and financial services. 

NVIDIA is not attempting to reach 100,000 developers on its own. It will partner with AWS, Facebook, Google, the Mayo Clinic and Stanford to co-create training labs. The labs will focus on the Caffe2, MXNet and TensorFlow deep learning frameworks. 

In addition, NVIDIA has teamed up with Facebook AI research head Yann LeCun to create a teaching kit for educators. It says hundreds of professors at Oxford, UC Berkely and elsewere are already using it. 

Lab content is being ported to Microsoft Azure and IBM's cloud. And finally, NVIDIA plans to introduce formal certifications for DLI students. To date, DLI has issued certificates noting the completion of a course, but does not offer certification tests.

Analysis: The AI Opportunity Is Far From A Game to NVIDIA

GPUs are better suited than CPUs for deep learning due to their architecture. While CPUs may have only a couple or several cores, GPUs have thousands of smaller ones that are geared for massively parallel processing of simple tasks. This maps well to compute-intensive deep learning workloads.

NVIDIA's GPUs have long been dominant fixtures in graphics and video cards for gaming and other purposes, but the company's investment in deep learning extends back nearly 10 years, long before the current awareness and hype level around AI.

An aggressive expansion of DLI now makes sense, since the market for GPUs in deep learning remains nascent and NVIDIA should make every effort to expand on its early lead. Its chief competitors, AMD and Intel, are only bringing specialized deep learning GPUs to market this year.

While Intel in particular will have plenty of money to throw behind its products, NVIDIA's other edge lies in the extensive libraries and mature software frameworks it's already developed for deep learning workloads. The more it can train up developers, the more GPUs it can sell, both in specialized hardware or to cloud service providers. In turn, AI developers who align with NVIDIA for GPU acceleration benefit from its early-mover maturity and expertise.

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Data to Decisions Tech Optimization Chief Information Officer

CEN Member Chat: Data to Decisions Trends 2017: Analytics, Big Data, and AI

CEN Member Chat: Data to Decisions Trends 2017: Analytics, Big Data, and AI

Constellation Research VP & Principal Analyst, Doug Henschen, reveals truths and 3 imperatives on which new disruptive business models are gathering the greatest momentum for data analytics, Big Data, and AI. Join our Constellation Executive Network to exchange ideas and solve business problems in real time. 

Data to Decisions Chief People Officer Chief Information Officer On <iframe src="https://player.vimeo.com/video/214075835" width="640" height="389" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

CEN Member Chat: How Artificial Intelligence Will Help People Get Work Done

CEN Member Chat: How Artificial Intelligence Will Help People Get Work Done

Find out how artificial intelligence will help people get work done in the Future of Work with Constellation Research VP & Principal Analyst, Alan Lepofsky. Join our Constellation Executive Network to exchange ideas and solve business problems in real time. 

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Making Snapchat Facebook Takeover Proof

Making Snapchat Facebook Takeover Proof

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Facebook, the social media juggernaut, seems intent on swallowing up any social media network that poses a threat to its soon-to-be monopoly over the world’s mindshare.

Facebook is a precursor to The Borg: Assimilating competitive networks until all that’s left is one large, ubiquitous social network.

Facebook Acquires Instagram, Assimilates Audience Data

Facebook acquired Instagram, the mobile-focused image sharing network popular among a younger audience because its demographic (Millennials) were slowly but surely leaving Facebook, which they saw as their parent’s social media.

Adding Instagram to its roster of companies was smart as it allows Facebook to combine data analysis and sell advertising to a wider range of businesses.

Facebook Clones Google Plus’s Best Features

Not even the mighty Google could not depose Facebook of its reign. Google Plus, it’s failed attempt to compete with Facebook, had the right concept and, some will argue, a more intuitive and robust network.

The problem was, it could not create a unique differentiator that Facebook could not duplicate, and do better. Unable to buy Google, Facebook cloned the Google Plus services we loved and in a very surgically way, made Google Plus redundant.

Google Plus offered a few differentiators, including hangouts, real-time chat, and “groups.” So, Facebook introduced Messenger to provide real-time chat and video chat and expanded its Business Pages format to offer a Google Plus-comparable groups function.

Further, it updated our ability to manage our network by adding a “friends category” function so we can group and share content with sub-sets of our followers, just like Google Plus’s Groups.

Facebook-owned the market; there was no longer a need for people to waste time building out a community on another network to access those services. It rolled over Google Plus.

Facebook Assimilates Whatsapp

Whatsapp, the digital messaging platform was a real competitor for Facebook’s continuing push to become a mobile platform. Facebook had Messenger, which it could have further developed into a “Whatsapp Killer” but Whatsapp’s ability to replace text messaging was a service that Facebook’s Messenger could never provide. Instead of cloning the service, it purchased Whatsapp.

Facebook & Instagram Clones Vine and Periscope Live Video Services  

Twitter took a stab at Facebook’s dominance with the introduction of the Vine and Periscope networks, which quickly grew in popularity among younger audiences seeking to become content producers, influencers, and receive more entertainment value from their social exchanges. And it worked, for a time.

Instagram’s video service crushed vine, and Periscope was taken out by Facebook’s introduction of Facebook Live, among other execution issues by Twitter.  Facebook’s cloning strategy beat them at their own game.

So who’s next?

Twitter? I don’t think so. Despite the “Trump Effect,” which has driven fans to the network to hang on his every word, and detractors to gawk at the train wreck, Twitter’s been relegated to a niche play.

Twitter’s value to advertisers is diminished – and has possibly become toxic – due to the platforms “too little too late” effort to control trolling and hate speech on the network. Advertisers are running, and potential buyers are following suit.

Still, there’s something Snapchat can learn from Twitter. The challenge is can it remain Facebook-proof but not become a niche network?

Can Snapchat Beat The Odds?

Snapchat, through its parent Snap, recently launched an IPO and is the next challenger for the attention – and dollars – of advertisers and marketers.

Despite the success of its initial IPO, some believe Snapchat is the believe Snapchat is the heir apparent for Facebook’s next takeover. The question, in my opinion, is not if, it’s how?

Will Facebook acquire Snapchat the way it did Instagram? Or, will it simply clone the technologies that make Snapchat appealing to younger audiences, starving the growing network’s growth of digital oxygen like it did with Vine?

If the writing is on the wall, what’s Snapchat to do to grow? Or remain relevant? Or stay in business, for that matter?

It does seem that there’s no beating Facebook, which has innovated, spent, and cloned its way to an omnipotent social media juggernaut. Can Snapchat survive the inevitable takedown by Facebook?

The solution is not technological.

The One Thing Facebook Cannot Do

Snapchat will never beat Facebook. Facebook has proven it will buy or clone what it wants, assimilating and cloning technologies. Its only chance to remain independent and a competitor to Facebook’s advertising prowess is to do the one thing that Facebook cannot: Stay relevant to younger audiences.

The Millennial generation has proven they do not want to be a member of their “parent’s social network.” Now that Boomers have become digitally savvy themselves, Millennials – and each generation after them – will always jump to newer, hipper, and sexier networks. Any network their parents join will become instantly irrelevant.

Facebook may clone Snapchat’s self-destructing social post model, or it may just buy the network, but that will just send the next generation in search of a social channel of their own.

Snapchat has an opportunity to beat the odds but staking a claim on the official “voice of the next generation.”   In other words, Snapchat could be the first one to beat Facebook at its own game: Buy and clone new technologies and channels relevant to younger audiences, driving a bigger wedge between what’s hip and “my parent’s social networks.”

Doing so could replicate Apple’s success in becoming a cultural brand rather than a product or technology. Becoming the “cultural voice of a generation” would render it toxic to a Facebook takeover.

Just imagine Apple being purchased by Microsoft. What would that do to Apple’s cache among its core audience? Would they continue to be as blindly loyal and fanatic – even if the technology didn’t change – if owned by Microsoft? Of course not.

In the same vein, Snapchat has a chance to make itself toxic to predators.

Will it?

The post Making Snapchat Facebook Takeover Proof appeared first on http://www.senseimarketing.com.

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Memory is the Barrier Between Computers and Humans

Memory is the Barrier Between Computers and Humans

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Title: Understanding the Four Types of #AI

Source: Twitter, via Vala Afshar

Link: https://theconversation.com/understanding-the-four-types-of-ai-from-reactive-robots-to-self-aware-beings-67616

We need to do more than teach machines to learn. We need to overcome the boundaries that define the four different types of artificial intelligence, the barriers that separate machines from us – and us from them.

My Impressions: I often marvel at the attempts from Hollywood to portray AI as a foregone conclusion of using computers, and how simple it is to do things if you are a computer.  My favorite depiction continues to be the Star Trek computer – if you ever worked in AI you know how far we are from something like that… but I digress.

I often find myself having the debate on whether that model will become reality, whether the singularity is possible, and how we get there.  While most people get hung on feelings and emotions as the differentiating factor between us and them, I favor what I call the three I’s (feelings and emotions can be recognized, measured, and replicated — the key is to identify the few variables that affect them – like sarcasm, but we can talk about that some other time).

The three I’s are Intuition, Innovation, and Imagination; they are not measurable or easy to replicate (yet).  As I often use as an example – Monsieur Fleming would’ve never found penicillin with the search parameters her was using if he was a computer.  It’s a fungus growing on food — not sure how to tell a computer to test that (especially since they would not bring their lunch, where the mold would grow on).

This article goes one further examining how the real barrier between computers and people is memories – and how they work.  If you think about it, the most complex process we have as humans is memory, not emotions.  What, how, where, and why something is stored, recalled, blocked, used, or discarded is far more complex that crying when you see a commercial with puppies (not that I do that, but I’ve been told some of you do).

Read this article so you can see what are the major challenges we have to focus on, not for advanced analytics only (although the ability to hold a conversation that is coherent requires memory) but for machine learning.

Good stuff…

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Microsoft aims to be a strategic business partner in digital transformation - Digital Difference New York 2017

Microsoft aims to be a strategic business partner in digital transformation - Digital Difference New York 2017

When most organizations think of Microsoft, they still think first of PCs, Windows, and Microsoft Office. They often don't fully perceive the fast-growing cloud juggernaut of today, replete with the very latest enterprise technology capabilities such as their rapidly evolving suite of Internet of Things solutions, industry cloud solutions, or growing machine learning capabilties. Nor do they regard Microsoft as a likely strategic digital business partner to help them fully reach their digital potential.

However, given that the global value of the digital growth in the next decade is estimated at a sobering $8 trillion in additional commercial value creation ($28 trillion in total new economic output, of which 28% or so is digital), today's tech giants have a newfound sense of their economic influence, even their ability to shape corporate destiny using sophisticated and powerful new digital business capabilities. Not surprisingly, these vendors seek to claim their role in this unfolding saga, and even help write history a bit along the way.

Microsoft's Digital Transformation Potential

Microsoft clearly senses this historic inflection point and would like to be perceived as a top player. Thus the computing giant is currently in the process of trying diligently to change the perception of the organization as a vital enterprise-class business partner, not just another big technology vendor. As part of this ongoing effort, I was invited last week to attend their Digital Difference event, an invite-only confab at the historic Cedar Lake event center in West Chelsea, where they showcased in a carefully staged and well-orchestrated half-day session how they have expanded  "up to the stack" to help some of the world's leading organizations digitally transform their businesses.

Hosted by Abbie Lundberg of Harvard Business Review's Analytics Services, who was also joined on stage by Microsoft's Judson Althoff, who is Executive Vice President, Worldwide Commercial Business at Microsoft, the company's perspective at the event was quite clear: 1) Companies have been underestimating the urgency and scope of digital transformation and can no longer put it off. 2) They must find ways to realize their digital potential, not just to thrive, but to survive, and that 3) Microsoft has had a growing role in partnering with large enterprises at the most strategic level to help them plan and executive on their digital future. It was this last part which was the main objective of the event.

Microsoft's Digital Difference in New York City with Abbie Lundberg, Judson Althoff, and execs from La Liga
Harvard's Abbie Lundberg, Microsoft's Judson Althoff, and La Liga executives at Microsoft Digital Difference in New York on April. Photo Credit: Dion Hinchcliffe

Throughout the event and quite commendably from my point of view, Microsoft was intent on demonstrating real proof points of their work with respected large brands, instead of just providing marketing soundbites on the importance and urgency of digital change. For me, the key customer stories I witnessed at Digital Difference were:

  • Maesk's move to a cloud-based Internet of Things logistics solution. The storied shipping company's Chief Digital Officer, Gocken Ibahim, was on hand during the main morning stage session, touting their strategic partnership Microsoft as they seek to more fully integrate their existing transport and logistics units while developing a more modern digital incarnation of their various lines of business. "We're moving from a projects company, to a products company," said Gocken, repeating a mantra that has emanted almost as a tagline from Silicon Valley of late as everyone seeks to productize their business for the digital world. Maerk said they see large opportunities for efficiencies at scale, which repeatedly came up in the discussions of Maerk's shift to Microsoft's IoT capabilities. Microsoft's IoT cloud solutions gives them the ability to track and share material, capital, and data as needed so that products can be built, shipped, and managed seamlessly across Maerk's logistics channels from manufacturer to wholesaler to retailer to customer, using live data feeds and machine learning insights to minimize exception scenarios and waste.
  • Soccer giant La Liga's use of cloud data to personalize engagement with hundreds of millions of fans. Often touted as the the world’s top soccer league, La Liga has long had its hands full helping its 1.6 billion fans fully engage with the sport and watch its 42 teams play. Now they are using Microsoft cloud services and artificial intellgience solutions to "to truly personalize fan interactions. Fans can specify their rooting interests then access only the most relevant content, including videos that reflect their preferences, or stats on their favorite teams or players. Via various digital channels, fans can connect with other La Liga backers worldwide, creating interconnected communities." Thus LaLiga is digitally transforming by giving fans better digital experiences that are they can use to induge their passion for the game and better connect to their favorite clubs and players. Country Manager Raul Gonzalez, a world famous famous ex-player in his own right, was on hand at Digital Difference explaining that social media had simultaneously made it possible for them to connect with their fans 1:1 like never before, but that it was also an enormous challenge in terms of engagement of scale and data-based customization. They utlimately felt Microsoft was best equipped to help them deal with and LaLiga in fact, launched their new digital experience for fans at the event as well.
  • Hershey's use of machine learning to optimize their factory operations. After the main stage event, I headed out to elaborate showcase area, where I encountered several good stories. Hershey's was one of the most detailed real-world examples of machine learning that I saw at Digital Difference. Efficiently using ingredents when they make their products, Twizzlers in this case, has been an exercise in managing many degrees of variability. The Hershey factory workers that make their well-known candy often have decades of experience making them, but dozens of manufacuring variables can confound the process. These variables, many of which change in real-time, such as the temperature of the raw ingredients, make it very hard to optimally produce a high quality product with as little waste as possible. Hershey has been using Microsoft Azure's machine learning capabilities on their Twizzlers product line to predict ahead of time when changes to manufacturing variables are going to impact the product and provide insight with enough time to use it. Hershey had actual, hard data on display to show how predictive machine learning help drive real efficiencies.

Numerous other enterprises had booths at Digital Difference as well, and most of the stories were interesting, if earlier stage than the examples above. Interestingly, Microsoft's Hololens was on prominent display and I had a chance to use one for the first time to view building models that architecture firm Trimble and Gensler used to visualize initial designs for customers, and was a compelling vision for the future of that industry. Microsoft's Connected Car was on the showcase floor as well, and was a popular attraction.

Finally, I was able to sit down with Microsoft's Judson Althoff personally to have a one-on-one conversation about how Microsoft is thinking about how best to work strategically with the customers on digital transformation of their business. Judson noted that the "world of customers becoming much more digital" and that what enterprises often don't understand is that it becomes "an order of magnitude more complex to deal with digital scenarios", which is why technologies like machine learning (to handle the volume and combinatorics) is critical to future digital solutions and customer experiences. Judson also had a mantra he repeated several times during the day, which is that "your systems can only be as good as the data over which it reasons." This insight combined with overall "underestimation of what it really means to be digital" has led Microsoft to work with customers on "four categories of deep dive questions that we take our customers through." Namely, asking them if they are truly digitally transforming their "a) customer engagement b) employee empowerment c) optimization of operations, and d) product transformation."

At the end of the day, the result of this work with customers -- typically encompassing Iot, data, and intelligence -- should "turn them into a digital ecosystem," Judson told me. By doing this well, the total addressable market (TAM) for Microsoft becomes far greater than total number of servers and PCs, but essentially all business activity, greatly increasing the market potential for Microsoft to grow and have impact, he noted. I believe this last point is one of the key motivators for Microsoft to become a strategic business partner, instead of a "just" major technology vendor.

My Analysis

There is little question that Microsoft has the skills and delivery capability in terms of a global cloud presence that truly understands the the technology needs of the world's largest organizations. Now the hard work is about crossing over to the business side of the digital conversation. Microsoft's proof points on strategic digital partnership certainly represented some large, well-known enterprise names, and they were able to get several of these organizations to say very encouraging things about their digital partnership so far. However, only Hershey was on hand -- at least in my conversations at Digital Difference -- with hard data it could show that the result had real business impact. So the other half of the equation, the business side where Microsoft provides business guidance based on the art of the possible with digital today, is something that's going to take more sustained storytelling over the next few years.

That said, I don't have much doubt, however, that Microsoft can grow and become a competitor with the Accenture Digitals and Deloitte's in this space. In the end, for them to fully deliver on the vision of enterprise digital empowerment that Microsoft was conveying at Digital Difference will require repeated and sustained evidence like this. Business leaders, particularly the CEO, must receive a steady and very clear sense that Microsoft belongs at the strategic planning table in the boardroom as an equal partner -- as much as it has crediblity in the office of the CIO today -- in terms of fully designing the long-term digital future of organizations. Microsoft made a good down payment against this vision at Digital Difference and I hope they continue the ongoing effort, as it was a painstaking-produced and high quality event that should help further their objectives in this regard.

Relevant Links

Microsoft Digital Difference

Harvard Business Review report: The Digital Transformation of Business

Microsoft Azure

New C-Suite Innovation & Product-led Growth Event Report Microsoft Executive Events Chief Customer Officer Chief Executive Officer Chief Information Officer Chief Marketing Officer Chief Digital Officer

Red Hat Summit 2017 Event Report

Red Hat Summit 2017 Event Report

We had the opportunity to attend Red Hats yearly user conference Red Hat Summit in Boston, held May 2nd till 4th 2017, at the Boston Convention Center. The conference was well attended with over 6000 attendees, a new record for Red Hat. In its 13th edition, I took note of the international customer base, reflected also in the Red Hat innovation awards. 

 
 


So, take a look at my musings on the event here: (if the video doesn’t show up, check here)
 

No time to watch – here is the 1-2 slide condensation (if the slide doesn’t show up, check here):

 
 
Want to read on? 
 
Here you go: Always tough to pick the takeaways – but here are my Top 3:

Partnership with AWS. The big news of Day #2 was the Red Hat partnership with AWS, freshly put into action, so details were a little sparse. But effectively, Red Hat is looking to give its customers more software capabilities through making it easier to them to administer, launch and use 3rd party software capabilities, in this case AWS. It all happens through Red Hat OpenShift Container Platform, its PaaS platform. In the Day #2 keynote we saw a joint demo in which an OpenShift based JBoss server got access to an AWS RDS database, all provisioned from Red Hat OpenShift. Red Hat customers will not only be able to configure and deploy AWS services from the OpenShift version running on AWS, but also from an OpenShift deployment that runs on premises, on their very own servers. The targeted AWS products are Amazon Aurora, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon CloudFront, Amazon Route 53, and Elastic Load Balancing. No surprise – a data base centric range. What Red Hat customers gain from this partnership will be the access to new capabilities that they could only deploy with substantial cost inside of OpenShift (especially on premises), take e.g. Hadoop / BigData use cases enabled now by Amazon AMR. Effectively Red Hat protects software assets that customers have created inside of OpenShift and gives them a future with adding / expanding use cases. And AWS gets access to enterprise load, while extending the reach of AWS products to …. On premises deployments and load. Something that could not have been done so far, as it was always ‘all in’ and building on AWS or migrating to AWS. Lastly on the Linux side, Red Hat and AWS will work together to expose more AWS services directly to RHEL, this will help customers who want to bring RHEL based applications to AWS, staying on Linux. And on the JBoss side both vendors will work together to provide JBoss as a containerized application on AWS. It all is planned to go live in fall of 2017. ReInvent timeframe maybe? 


 
Red Hat RHSummit Holger Mueller Constellation Research
Whitehurst on the opportunity ahead for Red Hat

Red Hat OpenShift.io unveiled – The years are over when new IDEs are unveiled, but every now and then a new effort is announced, here it was OpenShift.io. IDEs are important for developer productivity, and quickly become the ‘living room’ of a developer, as such they have tremendous ‘stickiness’. Red Hat felt compelled to provide a modern, container (of course Kubernetes based) new IDE. Of course, it leverages Open Source IDE ingredients, such as Jenkins, fabric8 and Eclipse Che. More tooling is available for Workspace Management (shown in demos), better (of course agile) planning, team collaboration, coding and testing and of course CI / CD. I was impressed by the real-time Stack Analysis capabilities and plans – but that was to be expected from a multiple ISO layer owning technology stack vendor like Red Hat. And unsurprisingly it is ‘free’ in the sense of being part of the Developer Program and now in developer preview, developers can find it at https://openshift.io.

 
Red Hat RHSummit Holger Mueller Constellation Research
Cormier on the Red Hat Model

The New Kids on the Block are doing well. Red Hat is the largest Linux and Open Source company with revenues north of 2B US$. But with the threat of public cloud lingering over all on premises deployments, it is questionable how long Red Hat can derive revenues from Red Hat Enterprise Linux (RHEL). It’s remarkable the vendor is still growing this revenue segment with 10-20% growth, nonetheless it will slow down, maybe even come to a screeching halt. Red Hat knows this and has another revenue stream around JBoss, but that is equally heavily on premises centric, but growing relatively faster. So, longer term revenue growth and customer appeal for Red Hat must come from the newer products, the new kids on the block: OpenShift, OpenStack related services. Encouragingly these are growing at 100% now, but the small scale of a combined 100M US$ is still way too small to carry Red Hat as the 10k+ employee software vendor that it is right now. Speed of product development, acceptance by customers and loyalty of customers will be key. On the new capabilities, Red Hat has done well, it now needs to get customers to adopt the solution. It needs to change the conversation from administrators of server and services to the CxOs who make platform decisions. Not an easy task. But you need to have the products first.

 
Red Hat RHSummit Holger Mueller Constellation Research
The Red Hat Product Portfolio
 

MyPOV

A good event for Red Hat customers. An interesting selection of topics for the keynotes – it was not yet about the new offerings, at the same time the largest Linux vendor did not show a roadmap / planned capabilities for RHEL, a surprise. We heard ‘Containers are Linux’ a lot of times, but in the public cloud it doesn’t matter what they run on. Customers care for SLAs, not for operating systems. And we heard a lot of pledges to Open Source – but everybody is using Open Source these days, Open Source has won, they question what Red Hat does better and different than the other players would be interesting to hear. The direction of multi-cloud is the right one, as we have seen from the success of other multi-cloud offerings, most prominently CloudFoundry. The question will be how much net new load Red Hat can attract for next generation application use cases – running in the (public) cloud, vs. existing RHEL and JBoss based load ‘just’ migrating to the cloud.

On the concern side, Red Hat maybe running out of runway. The fact that all Innovation Award winners were not US based is a surprise for a US based event (yes Rackspace as a partner announcement is a US based vendors, but partner awards are always …. somewhat political). Compare that to the 2015 innovation award – where all winners were US based, except for one, Avianca. Public cloud adoption outside of the US is lagging, amongst many reasons largely because of the absence of public cloud vendor data centers. Consequently, enterprises hold on to older, proven best practices to run their enterprise loads. Likewise, an exposure to government customers (State of Jalisco, British Columbia, Singapore Govtech) gives room to highly beneficial use cases, but governments are in general not aggressive technology adopters. A trend to watch, possibly a fluke, maybe not.

But for now, Red Hat is doing well, passionate customers and employees were all in the direction of the conference, which was about the individual making the different. But in developer terms, the individual needs the right tools (Red Hat provides Openshift.io), and platforms that provide portability in times of uncertainty (Red Hat offers OpenShift Container Platform) and offer attractive functionalities (the partnership with AWS comes to mind). So, good progress by Red Hat in the age of (public) cloud transformation of enterprise workloads. Stay tuned.


Want to learn more? Checkout the Storify of Day #1 collection below (if it doesn’t show up – check here). And checkout the Analyst Day Storify here. And Day #2 here. And I had 10 Questions for Red Hat - see here.

 


 
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