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Connected Enterprise 2016 - Fireside Chat with Naveen Rajdev

Connected Enterprise 2016 - Fireside Chat with Naveen Rajdev

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No holds barred interview with Naveen Rajdev of Wipro

Next-Generation Customer Experience Tech Optimization Chief Information Officer On <iframe src="https://player.vimeo.com/video/194892991?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="1-1 Fireside Chat with Naveen Rajdev" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Connected Enterprise 2016 - Leadership In Exponential Times

Connected Enterprise 2016 - Leadership In Exponential Times

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Dr. David Bray is a leading force for change in technology and in the public sector. Learn how he has created a culture of transformation by empowering change agents in his organization.

In this talk, David Bray explores the importance of #ChangeAgent(s), and larger questions about re-inventing public services to be more participatory, open, and transparent. Bray explains how empowering individuals to help shape the direction of public services makes processes faster, more fair, and less prone to bias.

Dr. David Bray is CIO at the United States Federal Communications Commission, a Harvard Visiting Executive-in-Residence, and an Eisenhower Fellow

Future of Work Tech Optimization Chief Executive Officer Chief Information Officer On <iframe src="https://player.vimeo.com/video/194892735?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="CR Talk - Leadership In Exponential Times" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Connected Enterprise 2016 - Fireside Chat with Lanny Cohen, Capgemini

Connected Enterprise 2016 - Fireside Chat with Lanny Cohen, Capgemini

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Join R "Ray" Wang for a fire side chat with Lanny Cohen of Capgemini.

Moderator: R "Ray" Wang
Group Chief Technology Officer at Capgemini: Lanny Cohen

Tech Optimization Chief Information Officer On <iframe src="https://player.vimeo.com/video/194892688?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="Market Maker 1-1 Fireside Chat with Lanny Cohen" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Lotus Notes Billion Dollar Potential

Lotus Notes Billion Dollar Potential

Mitch Kapor provides a look behind the curtain and shares a very neat moment in the history of Lotus Notes, one of the most important products in the history of team collaboration software.


Next Generation DMPs Key to Cross-Channel Marketing

Next Generation DMPs Key to Cross-Channel Marketing

I’m in the final stages of publishing two reports on Mobile Marketing and my research process included a deep dive into DMPs and the important role they play in cross-channel marketing. A quick primer, Cross-Channel Marketing is the process of engaging customers across digital channels and devices. As customers start their product/solution research on one device, they quickly move to other devices to continue browsing or to complete purchases. The CMO's ability to market to these customers moving swiftly across devices is a critical component of engaging customers at the right place and right time. This is where DMPs play a crucial role.
 
DMP or Data Management Platforms, have an ordinary name for performing quite an extraordinary task. DMPs were originally used by the display industry with the core focus on cookie data management, data centralization, and segmentation across channels. DMPs later evolved to include add-on tools for retargeting. The next generation of DMPs go further to help orchestrate the cross-channel journey of a customer by linking 1st party data (customer’s own data from CRM, Marketing Automation systems, etc.), with 2nd party data (the customer’s partners, etc.), and 3rd party data (external sources) to reconcile and unify IDs from different platforms and devices. DMPs are now expanding from the advertising and B2C world to be an important element in B2B lead qualification as well.
 
A typical cross-channel scenario is a customer searching on their tablet at home for a coat, then showing the coat to a friend on their mobile device at lunch, before finally making the purchase on their laptop at home. A similar example for B2B companies, a prospect hears about a vendor at a meeting and researches the company on their mobile device, then continues the process on their work laptop back in the office, all done before engaging a sales representative. Today’s customer independent of B2C or B2B expects a seamless experience as they move across devices and channels. The ability to provide the linkage from users and searches to channels and devices are where DMPs shine; making them hot acquisition targets to enhance marketing cloud solutions. Adobe has Audience Manager, Salesforce acquired Krux in October, and Oracle's DMP under Oracle Marketing Cloud is a combination of several acquisitions including BlueKai, Datalogix, and Crosswise. 
 
I had an early preview of Oracle's enhanced Audience Builder, a DMP solution within the Oracle Marketing Cloud. The enhanced Audience Builder gives Marketers access to visualize, build, and analyze their own customer segments with device IDs to effectively personalize and engage their customers.  The data powering the audience builder linkages comes from Oracle’s rapidly growing data assets which are normalized against their ID Graph. This Oracle ID Graph now provides customers access to over 6 billion unique devices (was 5 billion during September’s OpenWorld). Once built, the audience segments and data can be sent to platforms including their Eloqua and Responsys marketing solutions for campaign execution. The Oracle Audience Builder demo I saw was simple and straightforward, easy for marketers to operate and perform segmentation on their own. Statistics on audience reach and the desktop vs. mobile ID split is dynamically updated and displayed as the segment builds giving marketers a clear view to run campaigns.
 
*Audience Builder screenshot courtesy of Oracle Marketing Cloud
 
Most DMPs also have the ability to build look-alike models for CMO’s to target prospects similar to their best customers and personalize website experiences (all part of cross-channel marketing).  Combine DMPs with Marketing Automation, CRM, and Commerce platforms and CMOs can achieve the desired visibility into their customer’s entire browse to buy journey.
 
Marketing Transformation Sales Marketing New C-Suite Innovation & Product-led Growth Next-Generation Customer Experience Tech Optimization Future of Work Marketing B2B B2C CX Customer Experience EX Employee Experience AI ML Generative AI Analytics Automation Cloud Digital Transformation Disruptive Technology Growth eCommerce Enterprise Software Next Gen Apps Social Customer Service Content Management Collaboration Machine Learning business SaaS PaaS CRM ERP Leadership Chief Marketing Officer

Editor's Picks: Constellation's Curated Reading List for Executives

Editor's Picks: Constellation's Curated Reading List for Executives

Since it's the season of giving...have you seen this CNET article on Best Tech under $100 This Holiday? If you love disruptive technology, it's hard not to get excited about at least one of these revolutionizing wonders. As Alan Lepofsky, our expert analyst on Future of Work on the power of collaboration, likes to point out, #FirstWorldProblems on what to buy first, especially if you find yourself eager to check any of them out.

In all seriousness, here's Constellation's curated December list of recommendations on what to read first for enterprise leaders. With so much content to choose from these days, you may be short on time. If you read these or just check our Constellation Insights daily, you can prepare yourself better for 2017. 

Byte-Sized Analyses

3 Must-Reads - Chris Kanaracus, Constellation Insights Managing Editor
5 Lessons Enterprise CXOs Can Learn from the US Elections - Holger Mueller
GE, an Update on IoT Progress from Minds & Machines - Andy Mulholland
Monday's Musings, Secrets Behind Building Any AI Driven Smart Service - R "Ray" Wang

What's New?

Constellation ShortList Pick: Integration Platform-as-a-Service - Doug Henschen, R "Ray" Wang
Research Pick: 3 Imperatives for Innovating with Cloud BI & Analytics - Doug Henschen
Constellation AstroChart - Use it to learn how to prioritize your strategic initiatives. R "Ray" Wang

If you're a Constellation Executive Network member or interested in joining our community of innovative leaders, you can also check out our 2017 CEN Member Chat Schedule. We've got some excellent content lined up.

Constellation Executive Network

Innovation & Product-led Growth Tech Optimization Data to Decisions Future of Work Digital Safety, Privacy & Cybersecurity Next-Generation Customer Experience Matrix Commerce AI ML Machine Learning LLMs Agentic AI Generative AI Robotics Analytics Automation Cloud SaaS PaaS IaaS Quantum Computing Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP CCaaS UCaaS Collaboration Enterprise Service developer Metaverse VR Healthcare Supply Chain Leadership Chief Information Officer Chief Technology Officer Chief Data Officer Chief Digital Officer Chief Analytics Officer Chief AI Officer Chief Information Security Officer Chief Product Officer Chief Financial Officer Chief Operating Officer Chief Executive Officer Chief Experience Officer

Democratizing Large Enterprise Chatbots for Small Businesses

Democratizing Large Enterprise Chatbots for Small Businesses

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I must confess, I am a bit of a nut about chatbots.

I have been doing AI and related technologies (including NLP and bots-like tech) for quite some time and was a firm believer in the early waves of chatbots (back then we called them virtual agents – this is circa 2000 and was just starting to enter the realm of large enterprises).

Still am a firm believer, despite the bad name that they engendered through the early parts of this century due to lack of quantifiable results.  I mean, the worked – they just didn’t register well enough with the metrics we needed to justify them (read: too complicated, expensive, and cumbersome to maintain).

As we evolve with these technologies I am more inclined to believe that it is one the viable paths to get to full automation (which continues to be my dream for customer service) – or close to it.  But, to get there we need to simplify deployments and the maintenance.

This is why I was excited to hear that one of my clients, NoHold – one of my oldest and dearest clients with good virtual assistants / chatbot technology, was thinking of doing that  – making it simpler, cheaper, and easier to deploy them.  We had been talking for a while about their plans and the research they prompted via an inquiry eventually became the latest linked-in blog post I wrote: Chatbots for the Small Business.

In that post, I claim that simplicity and democratization of the resources inherent to chatbot’s world can be used by small business easily to fulfill their needs.  I also make the statement that if this works for small businesses then anyone and anything can leverage chatbots.  My hope is that we can all, for professional or personal reasons, create and manage an army of chatbots that, easily and with limited or no maintenance, will allow us to focus on the real needs we have and simplify the easy interactions with others.

Today, NoHold launched their product.  And I must confess I am interested in it.  Very.  Three reasons why:

  1. Democratization of Chatbot Technology.  This the most interesting point to me: bringing the complicated components necessary to run chatbots in a simple manner to all organizations.  In my past post, I looked at a handful of companies that are working on that – but this launch is a tad different.  NoHold has lengthy (read, over 15 years) doing this and they have evolved not only their chatbot tech but also knowledge management components to deliver complex bots. Their new QuickSmart platform, a subset of all those components, emphasizes the ease of deployment and lack of training for a chatbot. It has all the large scalability and powerful language and intelligence processing elements that are provided in a simpler turn-key (or almost solution).  There is no easier way to democratize technology than to make the complex simple and to allow organizations access to high-tech that would otherwise be unavailable to them.  This is one of those moves.
  2. Platform Based.   For small businesses, the ability to do little and get lots of value is a preternatural pursue;  having limited resources to begin with they are always looking for better ways, and cheaper/faster/easier/simpler ways, to accomplish what they need.  Using platforms, and their inherent ability to both leverage other elements as well as easily customize and personalize the outcome, is a natural – and one of the reasons cloud computing has been growing steadily among the SMB crowd.  From their early days, NoHold had relied on their SICURA platform to deliver ever-easier implementations of chatbots for their customers and now they have extended that modus operandi to their new QuickStart platform for small businesses.  This means that SMB organizations can now – for the most part, there are some differences – create and deploy similar complexity chatbots in their service setups.  This is not only good for the SMB, but also for the large enterprises that benefit from the lessons learned in using platforms more efficiently.
  3. No Coding.  SMB needs are easy and simple.  The lack of resources becomes an insurmountable issue if, as with most enterprise chatbots, a few months of work are required to deploy.  Removing the need for complex configuration and simplifying or eliminating coding is the easiest way to serve the needs of the small business – but also the needs of large enterprises that may have business workers creating chatbots as needed.  NoHold QuickStart uses word documents, with minimal formatting and structure, to create a chatbot.   This is a tremendous advantage over the traditional way to train and implement a chatbot – where mostly a set of Q&A is loaded one by one via an interface – and one that can leverage documents already created by the company for other purposes.  This is a critical sine-qua-non in my opinion for small businesses to embrace this technology as — well, anybody in the business world knows how to use Word.

There is a lot more to cover in this release: more features, more functionality, more use cases, and more examples – but I think the points above are what make my interest in this launch so.  If there is a way to leverage existing, complex technology and deliver a simplified model of the same to democratize access to the technology – to me that’s a good day.

Read more about the launch here, and read more about the product here.

disclaimer: NoHold is a client, one of my oldest clients, and I have received compensation along the way to help them with this and other launches.  I was drawn into drafting my Linked-in post based on research I had to do to answer their inquiry.  I am solely responsible for this content and the opinions expressed herein and no one at NoHold attempted to tell me what to say or do.  if you disagree with my position, that’s good if you have the data to back it up.  if you agree, that’s better.  I do believe we are just tapping the surface on what we will be able to do with chatbots and will continue to cover this as it becomes available – a large part of my research going forward is about artificial intelligence.  if you have any worthwhile announcement, launch, or something interesting to share with me in this field – please contact me.

ps – since i wrote this I also saw coverage in Forbes and TheNextWeb.

Next-Generation Customer Experience Chief Customer Officer

Connected Enterprise 2016 - Fireside Chat with Jonathan Becher, SAP

Connected Enterprise 2016 - Fireside Chat with Jonathan Becher, SAP

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Join R "Ray" Wang for an in-depth fire side chat with Jonathan Becher of SAP.

Founder, Constellation Research: R "Ray" Wang
Chief Digital Officer at SAP: Jonathan Becher

Tech Optimization Chief Information Officer On <iframe src="https://player.vimeo.com/video/194559203?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="Market Maker 1-1 Fireside Chat with Jonathan Becher" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Connected Enterprise 2016 - The 3rd Annual Digital Sports Panel

Connected Enterprise 2016 - The 3rd Annual Digital Sports Panel

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Big brands, small organizations, and huge expectations converge on this digital sports panel. Gain the latest insights on how digital transforms the sports business. Hear perspectives from teams, industry leaders, and practitioners.

President at The 56 Group: Paul Greenberg
VP of Strategic Revenue at SF Giants: Jerry Drobny
Lead Marketing & Digital at Golden State Warriors: Kenny Lauer
Director of Technology at Boston Red Sox: Jason Lumsden
CMO at Wipro Limited: Naveen Rajdev
CEO at SEAT: Christine Stoffel

Data to Decisions Matrix Commerce Next-Generation Customer Experience Chief Customer Officer Chief Digital Officer On <iframe src="https://player.vimeo.com/video/194558909?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="Industry Spotlight - The 3rd Annual Digital Sports Panel" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Cloud BI and Analytics Options Aren’t Just for Cloud Data

Cloud BI and Analytics Options Aren’t Just for Cloud Data

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Exploit cloud advantages and data from on-premises, external sources as well as cloud stores to drive deeper insight, innovation and new business models.

The center of data gravity is shifting outside the walls of the enterprise. In fact, Constellation estimates that by 2020, at least 60 percent of the data that organizations consider to be mission-critical will live outside the four walls of the enterprise.

The move to cloud computing is the leading contributor to this trend, and it will change how organizations handle business intelligence (BI) and analytics. But don’t make the mistake of thinking that cloud-based BI and analytics options are just for data that’s created in the cloud. Rather, these systems are ideal for the increasingly common scenario in which organizations are gaining insight from data from all over the place.

data-explosion-by-2020

Yes, it will be a hybrid world, but that’s not a binary choice between data that’s in your corporate data center and data born or uploaded into your cloud stores. Some of the data you need will be in software-as-a-service applications, some in partner networks, some in social networks, some in mobile apps running on cloud infrastructure, and some in third-party sources, such as weather feeds, demographic enrichment sources, and government data sets.

As I explain in my latest report, Three Imperatives for Innovating with Cloud BI and Analytics,  the opportunity is to take advantage of cloud flexibility, ubiquity and architecture to tap into many sources, support important new analyses and surpass the old barriers of BI. That advantage isn’t just reduced initial cost and administrative overhead (you can achieve that through hosting of conventional software, but that’s not what Constellation would call true, multi-tenant cloud BI and analytics).

The report addresses three priorities that companies should pursue as they move toward next-generation deployments:

  1. Make the most of cloud advantages including flexibility and elasticity, so you can quickly tap new data sources as they emerge, wherever they emerge. Further, with cloud services it’s easier to embed insights into applications and expose them externally to partners and customers.
  2. Take advantage of external data. As the balance of mission-critical data shifts, cloud-based BI options are well suited to blend and analyze data from myriad external sources, including SaaS apps, social networks, mobile apps, sensor networks, and third-party data providers as well as on-premises sources.
  3. Advance innovation and create new business models. Think beyond dashboards and reports. Innovators are using analytics to drive insight-based differentiation, data brokering and data-monetization. Connected-car and predictive maintenance applications, usage-based pricing, performance benchmarks, insight services and predictive recommendations are just a few examples of the kinds of innovations that are creating value and opening up new sources of revenue.

The 21-page report includes two figures, a table depicting Constellation’s view of the evolution from mass personalization systems to cognitive intelligence systems, and a listing of five styles of cloud-based BI and analytic products and representative vendors. To learn more about the report and its findings and recommendations, download this free excerpt, which includes the table of contents, executive summary and introductory section.

constellation-research-report-doug-henschen

Related Reading:

Inside Oracle Adaptive Intelligent Apps
Tableau Sets Stage For Bigger Analytics Deployments
Qlik Gets Leaner, Meaner, Cloudier


Data to Decisions Tech Optimization Sales Marketing Innovation & Product-led Growth Next-Generation Customer Experience Future of Work intel Marketing B2B B2C CX Customer Experience EX Employee Experience AI ML Generative AI Analytics Automation Cloud Digital Transformation Disruptive Technology Growth eCommerce Enterprise Software Next Gen Apps Social Customer Service Content Management Collaboration Machine Learning LLMs Agentic AI business SaaS PaaS IaaS Enterprise IT Enterprise Acceleration IoT Blockchain CRM ERP finance Healthcare CCaaS UCaaS Enterprise Service Chief Executive Officer Chief Information Officer Chief Digital Officer Chief Revenue Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer