Huawei Aims for Public Cloud Market Domination in the Nicest Possible Way

B. Shimmin

B. Shimmin

Summary Bullets:

  • At its annual Connect conference, Huawei set down its plan to become one of the five dominant public cloud platform providers, opposite IBM, Google, Microsoft, and Amazon.
  • Huawei’s cloud ambitions, however, aim not to dominate but to create an open, independent platform that augments and works with other clouds while maximizing differentiated Huawei functionality and expertise.

What is a computer? Is the cloud a computer and vice versa? In many ways, yes. Both a computer and the cloud represent a programmable resource, for example. Both dole out capabilities in the form of services. And both are finite in their scale and bound to the purpose of those who program them. Sure, the cloud can be seen as a never-ending cluster of computers slung together. But both, at the end of the day, return zeros and ones in exactly the same way. Read more of this post

Variety Is the Spice of Life for AI, Particularly in Humanizing HR

B. Shimmin

B. Shimmin

Summary Bullets:

  • Digital assistants like Microsoft Cortana are a lot like people in that they are the most interesting when they specialize, and when they become experts in a given field.
  • This is the case with human resources (HR), where there are many AI-driven chatbots available, each able to answer specific problems (like employee feedback) or support specific constituencies (like millennial employees).

If there’s one lesson to be learned from this week’s announcement that Microsoft Cortana will be able to converse freely with Amazon Alexa, it’s that AI-driven personal assistants – like people – do well to specialize. Cortana is quite adept at setting appointments and Alexa is pretty good at turning lights off and on. But don’t ask Cortana to turn down the heat or Alexa to set up an Outlook meeting. Like people, AI platforms grow up under very different circumstances, each with its own unique philosophy, friends, and culture (in the world of IT, ‘philosophy’ means AI algorithms, ‘friends’ equals data sources, and ‘culture’ means domain of expertise). Read more of this post

How Design Thinking Can Save Digital Transformation and the Tour de France

B. Shimmin

B. Shimmin

Summary Bullets:

  • Technology companies like IBM and SAP are turning to the 50-year-old design and ideation methodology, ‘design thinking,’ in order to innovate more rapidly and better respond to customer needs.
  • Why is a process rooted in sticky notes and whiteboard doodles suddenly relevant for both technology providers and enterprise buyers? The reason is simple: with it, software developers can find and then answer the right questions.

A few weeks ago, a colleague passed me a link to an interesting live data dashboard for the Tour de France. Built by Dimension Data, this interactive, live view into the yearly bicycle jaunt about the French countryside was for me both fascinating and frustrating. As an IoT problem in action, the live tracking and comparative bar charts for various cycling groups (breakaway pack vs. Peloton, for example) provided an absorbing array of data points to ponder. Yet, I found myself looking for and failing to find answers to my own questions, like where are the current outliers and how does today’s stage compare with those in the past? Nitpicking, I know. But as an enthusiast of both data and cycling, I would have jumped at the chance to work with the team designing this app. Read more of this post

Cisco’s Intuitive Network Demands Much More than App and Infrastructure Unification

Brad Shimmin – Research Director, Business Technology and Software

Summary Bullets:

• Cisco’s recent marketing campaign around “The Network Intuitive” calls for a radical rethink of the network where programmability, artificial intelligence (AI), and transparency point toward a self-aware infrastructure driven by business outcomes.

• But for that to work, for Cisco to help companies at last bridge the seemingly intractable rift that exists between IT and business concerns, the company will need to help its customers reimagine how apps are built.

It doesn’t matter if you run your enterprise app in the cloud or on premises, whether those apps are containerized, or if they adhere to a modern development paradigm (agile, RAD, et al.). Inevitably, each and every one will reveal what is perhaps the industry’s longest standing challenge — unifying IT and business. The app will go down; a database error will occur, client software will slow, or worse still the app may fall prey to a security breach or attack. And that’s when the finger pointing starts between development, IT, service provider, integrator or VAR, et al. Eventually the root cause of the problem will present itself, but in the meantime, reputations are sullied and money is lost. Read more of this post

Is the Promise of IoT Getting Lost in “Good Enough” Analytics?

Brad Shimmin – Research Director, Business Technology and Software

Summary Bullets:

• In studying buyer expectations and experiences from more than 1,000 IoT practitioners, GlobalData found that the majority of users rely upon basic reporting mechanisms as found in business intelligence (BI) systems when analyzing IoT data.

• This points to a significant mismatch between opportunity and expectation with enterprises setting the bar far too low when it comes to using IoT as a means of moving beyond basic operational efficiencies and into the realm of intuitive, self-governing business systems.
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The Three Pillars of IoT Success

B. Shimmin

B. Shimmin

Summary Bullets:

  • How can technology vendors guard enterprise IoT buyers against the dangers of cost and complexity?
  • They should endeavor to solve specific IoT problems through readily consumable, outcome-based IoT services.

As my compatriot Kitty Weldon pointed out in a blog post earlier this week, the success or failure of an IoT project isn’t something you stumble on a year or two after rolling out a solution. A recent Global Data Technology IoT Enterprise Survey of more than 1,000 IoT buyers showed that failure happens very early on during the investigation phase of a given deployment and more often than not centers on the cost and complexity of the project at hand. Read more of this post

Genesys Jumps on the AI Bandwagon, Invites Others Along for the Ride

B. Shimmin

B. Shimmin

Summary Bullets:

  • At its annual user conference, customer experience management player Genesys introduced Kate, a personified artificial intelligence (AI) platform tailored to augment and automate multimodal customer interactions.
  • Genesys Kate, however, is not meant to compete with AI platforms such as IBM Watson or Salesforce.com Einstein. Instead Kate seeks to blend its own capabilities with those offerings, serving as an open platform.

Personified AI platforms – suddenly every technology vendor seems to have an AI persona that’s eager to strike up a one-on-one conversation. There’s of course IBM Watson, Amazon Alexa, Apple Siri, Google Assistant, Salesforce.com Einstein, and Adobe Sensei, but that somewhat lengthy list doesn’t even scratch the surface of what’s available when you bring AI bots like Mitsuku, Poncho, Melody, Rose, and my personal favorite, Dr. AI. And now we have Kate, a personified AI platform introduced by customer experience manager Genesys this week during its annual user conference. Read more of this post

There’s a New Informatica in Town That Wants to Unleash the Power of Your Data

B. Shimmin

B. Shimmin

Summary Bullets:

  • At its annual user conference, Informatica quietly introduced an entirely new brand identity, which is designed to free the company from its ETL roots and target enterprise cloud data management.
  • To reach this goal, however, the company intends to do far more than merely switch up its logo and mission statement.

It is not uncommon for a technology vendor to make a break with the past by rolling out a new brand identity. Such efforts typically involve an extravagant launch party, an extensive marketing campaign, and of course, an extremely expensive logo retrofit. On average, these rebrands aren’t a good thing, at least not initially, since they’re often undertaken in response to an existing or anticipated threat. The idea is to create some cognitive dissonance among existing and potential customers, severing existing perceptions and creating new associations that are in tune with current (and hopefully future) market ideals. Read more of this post

Red Hat Summit 2017: IT Automation Takes One AWS-sized Step Closer to Business Innovation

Brad Shimmin – Research Director, Business Technology and Software

Summary Bullets:

• Red Hat’s re-energized partnership with Amazon and its continued investment in Red Hat Insights smartly emphasizes AI-driven IT automation as a way to root out the foibles of human-mediated decisions in optimizing hybrid cloud/premises environments.

• Beyond automation, however, Red Hat’s growing focus on big data points to a distinct need within the industry to bring both operational and business analytics together within a single pane of glass.

At Red Hat’s annual customer event in Boston, Massachusetts last week, the industry’s leading purveyor of all things Linux rolled out a series of announcements relating to analytics-driven IT automation and private cloud enablement – two topics that are impactful on their own but superb when combined. Read more of this post

Huawei Analyst Summit 2017: Huawei, More Open Than You Think When it Comes to Big Data

B. Shimmin

B. Shimmin

Summary Bullets:

• At its annual Huawei Analyst Summit 2017, Huawei spoke of solutions built on top of two pillars: an open IaaS/PaaS cloud platform paired with an open ecosystem of partners.

• The vendor’s premise? Let Huawei handle the infrastructure (the cloud, pipes and devices, as Huawei puts it), leaving the rest to those who know business outcomes the best.

At its annual Huawei Analyst Summit 2017, the Chinese powerhouse took a surprising turn. At past events the vendor emphasized its ability to squeeze more performance from its sizable portfolio of predominantly hardware-based data center and networking offerings. The objective was simple: demonstrate a better cost/value ratio for high value workloads like video. That approach remains a solid strategy, one that is all too familiar to rival firms like Cisco. This is especially true for vendors seeking attention from the still lucrative telecom operator marketplace.
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