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Digital Transformation Digest: Samsung Eyes IoT Data Monetization, Google's Native Ad-Blocker Emerges, the Fight to Save Flash, and More

Digital Transformation Digest: Samsung Eyes IoT Data Monetization, Google's Native Ad-Blocker Emerges, the Fight to Save Flash, and More

Constellation Insights

Samsung wants to turn IoT data into money: In 2015, Samsung launched ARTIK, its entry into the IoT platform market. Now it is adding a layer to ARTIK that's aimed at helping IoT device makers generate revenue off the data they use. Here's the value proposition as stated in Samsung's announcement:

For device manufacturers, IoT shifts their operating model from selling hardware to selling hardware products connected to digital applications. Today, device manufacturers often have trouble recouping data costs associated with free applications and supporting an ecosystem of third-party devices, apps and services. Manufacturers have to either absorb the data costs of operating devices in the field, or factor in anticipated data costs to the retail price of devices.

Samsung ARTIK Cloud Monetization addresses this problem by providing a complete brokering, metering and payments system. It gives device manufacturers an easy way to make their devices interoperable with third-party devices and applications, and monetize data useage. With the Samsung ARTIK Cloud developer portal, device manufacturers have the flexibility to define service plans that meet their business needs. Samsung ARTIK Cloud brokers and meters user interactions against the defined plan, and manages upgrades, payments and revenue share back to the device OEM.

Some may quibble with Samsung's description of the service as the first of its kind, but it undeniably targets a legitimate pain point for IoT device makers.

Samsung's announcement fits into one of the four business models for IoT defined by Constellation VP and principal analyst Andy Mulholland—that of a broker. "Owners of endpoints and consumers of data in ecosystems from smart cities to transportation and alike need a middle broker who interconnects and charges," he says. "There are a host of services around categorization and context for the endpoint, as well as charging, that need to be provided. Given that Korea is one of the hottest spots for smart cities and ecosystems it would seem logical that Samsung ride their homemarket to bring this role into play. But western markets are not so advanced as to immediately be able to make use of this."

Google's native Chrome Ad-Blocker surfaces: Last month, news emerged that Google was developing a native ad-blocker for its Chrome browser. It seemed counterintuitive at first given how much Google depends on web advertising for revenue, but the idea is to block annoying ads and ultimately stop them from getting produced at all. 

Now the tool has shown up in Canary, the pre-release version of Chrome for Android, as Techcrunch notes. Google is planning to make the tool generally available sometime next year, according to previous reports.

Google has joined up with the industry group Coalition for Better Ads, a group with members including Facebook, Unilever, Proctor & Gamble, Thomson Reuters and the World Federation of Advertisers. The CBA is fighting against a dozen types of desktop and mobile ads, including auto-playing video ads with sound, large sticky ads and full-screen scrollover ads.

POV: There are already effective ad-blocking extensions for Chrome and other browsers, but marketers and advertisers should take Google's move seriously, as Chrome commands more than 60 percent of the browser market. Users who haven't installed third-party ad blockers might feel more comfortable doing so with a native tool option.

Digital transfomation keeping some tech jobs back to U.S.: The New York Times took a look at the trend toward U.S. companies looking to onshore outsourcing companies for forward-thinking IT projects. While the piece's evidence is partly anecdotal, there are plenty of interesting nuggets, such as this one:

Monty Hamilton, a former Accenture consultant, took over Rural Sourcing in 2009, when it had just a dozen employees. Today, the company has 300 workers in four delivery centers: in Albuquerque; Augusta, Ga.; Jonesboro, Ark.; and Mobile, Ala. The payroll will reach about 400 people by the end of the year, Mr. Hamilton said.

“Every business now realizes it’s a digital business,” he said. “They need technical help, and that’s really driven the demand for our U.S.-based talent.”

As the NYT notes, massive offshoring players IBM and Infosys recently announced plans to hire an additional 35,000 workers in total over the next few years.

POV: There's no indication offshoring is in any great peril, given the amount of legacy systems that still need maintenance, preferably at a low cost. But the trend outlined in the story is for real, and as such enterprises undergoing digital transformation should shape their talent procurement strategies accordingly.

Legacy watch: Petitioners hope to save Adobe Flash from extinction: Adobe's long-standing but not-exactly-loved Flash multimedia player is set to be retired, but will live on in another form if backers of a new petition on Github have their way. The solution is for Adobe to open-source Flash and the related Shockwave application builder, which would be right thing to do, the petitioners say:

Flash along with its sister project Shockwave is an important piece of Internet history and killing Flash and Shockwave means future generations can't access the past. Games, experiments and websites would be forgotten.

Open sourcing Flash and the Shockwave spec would be a good solution to keep Flash and Shockwave projects alive safely for archive reasons. Don't know how, but that's the beauty of open source: you never know what will come up after you go open source!

We understand that there can be licensed components you might not be able to release. Simply leave them out with a note explaining what was removed. We will either bypass them, or replace them with open source alternatives.

POV: It's not clear how successful the petition will be, but there's certainly ample precedent of vendors releasing discarded proprietary code as open-source. That said, Flash usage has dropped substantially over the past few years as newer options such as HTML5 took hold, so there's the question of demand going forward. Moreover, Flash was notoriously buggy and insecure—could a fledgling open-source community do better than Adobe at issuing fixes and shoring up Flash's security? It might be best to let Flash just fade away, but if you want to sign the petition, go here.

 

Digital Safety, Privacy & Cybersecurity Marketing Transformation Matrix Commerce Next-Generation Customer Experience Tech Optimization Chief Customer Officer Chief Information Officer Chief Marketing Officer Chief Procurement Officer Chief Digital Officer

Summer News Analysis - Google introduces Google Hire

Summer News Analysis - Google introduces Google Hire

What’s the news: Google wants to help recruiters be more successful. It wants them to use G-Suite to schedule appointments, Gmail to email with applicants and internal stakeholders, use Google Search to make job post more attractive. Google has also thought of reports and data migration to get started. Hire leverages assets from Bebop – the ‘acquihire’ that brought Diane Greene to Google. The link to the earlier shipped Google Jops API isn’t fully clear, but its more likely than not leveraged.

 
 
Why it matters: Recruiting or more fancy Talent Acquisition is a team sport that is highly fragmented from a systems perspective. Making it easier for the recruiter and the hiring manager is a key to make hiring decisions faster and better, which matters in a tightening jobs market and is crucial for an enterprise to accelerate. 
Google Hire Screenshots from Google's Hire website

MyPOV: Google is getting more and more in the enterprise software space / SaaS market. Good to see it knows that e.g. data migration and reports are a must for the enterprise. It will have to answer questions soon in regards of plans to offer more than recruiting capabilities, e.g. onboarding and learning come to mind. And let’s not forget the veritable market presence LinkedIn (and Microsoft) have in this space. Don’t be surprised if Microsoft ‘embraces and extends’ this automation area at some point and: Microsoft's LinkedIn acquisition makes both vendors already competitors. More competition is good for customers - making products better, licensing competitive etc. So there is little not to like of Google announcing Hire.

CxO Advice – If your recruiting team and / or company is a Google shop, definitively take a look. If not look at the value of the APIs. It’s unlikely a superior recruiting product can unseat Outlook in an enterprise – this is why all the other recruiting vendors offers interfaces to Outlook (and increasingly, G-Suite). Google may learn this in the next quarters, so stay tuned. Even if you can’t move – ask your recruiting vendors for the same features – on their platform.

 
 

 

Future of Work Tech Optimization Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity Data to Decisions Innovation & Product-led Growth New C-Suite Marketing Transformation Google AI Analytics Automation CX EX Employee Experience HCM Machine Learning ML SaaS PaaS Cloud Digital Transformation Enterprise Software Enterprise IT Leadership HR Chief Customer Officer Chief People Officer Chief Human Resources Officer

Silicon Valley has forgotten Com Sci 101

Silicon Valley has forgotten Com Sci 101

Artificial Intelligence is with us today.  When you fire up your smart phone’s map application, it knows where you’re probably going based on the time of day, and without prompting, gives you a bit of advice about how to get there and what traffic jam to avoid. That’s pretty cool. And from there we easily slide into an optimistic outlook for self-driving cars.

Let’s take a long hard look at the smooth-talking claims behind autonomous cars, “Big AI”, the Singularity, and the presumption that within a few years we will see a human-like awareness in computers.  Let’s start with the limits of computation.

When I did first year computer science in the 1970s, we were taught about the fundamental limits of algorithms. Logicians know with mathematical certainty that there are some things that algorithms can’t do, but Silicon Valley has forgotten the lesson, and instead is barrelling down the road of autonomous vehicles.

Algorithmic failures are deeply unpredictable. Already there have been some horrible missteps in machine vision. Recall the “racist” image classification algorithms.  The problem goes beyond developers’ bias infecting their work; it’s about an optimism that has infected the whole of the AI project.  If a computer can’t even solve the Halting Problem – predicting whether or not a program is going to stop – then what chance is there really that an autonomous car can be delegated responsibility for life-and-death decisions?

An AI engineer’s first encounter with ethics may be the Trolley Problem. But what they can fail to glean from Wikipedia is that the Trolley Problem has no resolution. The moral of the story is that our philosophical frame of reference shapes our response to life and death questions.  So it cannot be coded. We won’t ever have a program driving a car that’s going to come up with right answers all the time (or socially acceptable ones) to real life moral dilemmas. 

Think about the good old courtroom drama.  Why does this TV genre never grow old? It's because real-life problems of accountability and responsibility play out in myriad unpredictable ways.  There's always some unforseen twist - a precedent - that makes tough cases so absorbing. Even real life lawyers can't predict the outcomes of legal cases (which is why we have real life lawyers).  There is no algorithm for these things, and after a while, the AI industry is going to find that self-driving car crashes get messy. 

Nevertheless, I've heard automobile executives speculate that customers might be given a configuration option when setting up their new self-driving cars, to prioritise the life of the driver or that of the pedestrian in the event of a looming accident. If anyone thinks that a computer can be reliably programmed to make that sort of call, then that mindset is itself unethical.

We urgently need a more sophisticated way of framing AI, around an understanding that there are some things that computers just can’t do.

Every algorithm is always going to reach its limit, where it’s either going to tip into unpredictable behavior, or just grind to a halt because it can’t figure out what to do. One of the tricks in human intelligence is we seem to know when to call for help. We can realise our limitations, and pick when we need a second opinion, or seek counsel from a trusted advisor, or take a poll.  There can be no universal algorithm for detecting a responding to failure.  Any algorithm for detecting failure will itself occasionally fail, and then what will happen?

I’m not saying that there’s something mystical going on in the human brain, but there are some deep cognitive problems that we haven’t worked out yet. So I find it unethical for captains of industry to be treating self-driving cars as almost a solved problem. AI is much harder than it looks.

 

Tech Optimization Digital Safety, Privacy & Cybersecurity Chief Executive Officer Chief Information Officer Chief Digital Officer

Social Business News July 28 2017

Social Business News July 28 2017

Alan's Angle - The Social Business News Recap for the week ending July 28th, 2017

Slack raises $250M - Analytics, AI, business partners and their first customer conference

WalkMe raises $75M - Digital Adoption Platforms help guide people through enterprise applications and websites

Mitel acquires ShoreTel - How will they reconcile their overlapping UCC and collaboration tools?

Shelf.io raises $2.2M - Aggregate content from multiple repositories into a single container

Future of Work

Zoho Launches Zoho One Business Suite

Zoho Launches Zoho One Business Suite

This week Zoho launched Zoho One, an offering that provides customers with access to all of the Zoho business and productivity applications for a single price of $1/person/day. If you're unfamiliar with Zoho, you should really take a look at their extensive product portfolio which includes:

  • Personal Productivity: Word processing, spreadsheets, slides and note-taking
  • Communication and Collaboration: Email, chat, web-conferencing, social networking, group messaging, file-sharing and project tracking
  • Business processes: Sales/CRM, marketing, customer support, finance/invoicing, human resources and a custom application (low-code) developer tool

While perhaps not as well know as its Microsoft and Google competitors, Zoho does have an impressive 3rd party ecosystem of extensions available via the Zoho Marketplace

Customers Take Note

While individual applications in the Zoho One portfolio may not offer as many features as their counterparts from Microsoft Office 365/Dynamics, Google GSuite, Salesforce, Workday, and others, Constellation Research believes Zoho One's complete platform solution provides a very attractive option for many businesses. As outlined in the research report Why Your Organization Should Buy a Collaboration Platform Instead of a Best-of-Breed Solution, having a single platform provides advantages in integration, administration, security and several other areas.


 

 

Future of Work

IBM Connections Engagement Center Now Available

IBM Connections Engagement Center Now Available

On July 25th IBM announced the availability of IBM Connections Engagement Center. This is the first release of this optional enhancement to IBM Connections since IBM acquired the software from TIMETOACT back in May.  I could not find any information about Engagement Center on the IBM Connections website, but you can learn more about it in this SlideShare presentation.

Constellation Research believes IBM Connections customers will see value in this add-on, as it provides additional intranet and extranet functionality that helps Connections compete with community software such as Microsoft SharePoint, Salesforce Community Cloud, Jive Software, ThoughtFarmer, Igloo and Jostle.

 

Future of Work

Digital Transformation Digest: Amazon's Cloud Growth, Starbucks' Spins Its 'Digital Flywheel,' and More

Digital Transformation Digest: Amazon's Cloud Growth, Starbucks' Spins Its 'Digital Flywheel,' and More

Constellation Insights

Inside the numbers for Amazon Web Services' Q2: Amazon reported second-quarter earnings this week, and as part of it said revenue for the Amazon Web Services segment had jumped 42 percent to $4.1 billion. At the same time, Amazon ramped up spending on AWS infrastructure in the quarter dramatically, spending $8.1 billion on property acquired through capital leases, up 71 percent year-over-year from $6.7 billion. On a conference call, Amazon CFO Brian Olsavsky touched upon the AWS results:

Our usage in all of our large services are actually accelerating and they're growing at a rate higher than our revenue growth. ... We continue to open new regions. We'll be opening five regions in the near future in France, China, Sweden, Hong Kong and a second government cloud region in the East. So, yes, we like the momentum in that business. Stepping back, I would say that while pricing is important, again, we're generally being selected because of our functionality and pace of innovation, the innovation keeps accelerating.

AWS has been continuing to roll out pricing cuts and new services, and these are having an effect on the bottom line, he added:

We've had numerous price decreases, and we continue to have that in the AWS business, both absolute decreases in service costs and also rolling out new services that may be cannibalizing more expensive other services that we provide.

POV: By any reasonable measure, the AWS results are strong. But nor is AWS running away with the market; Microsoft last week reported that Azure revenue had nearly doubled in its second quarter. While Azure is working with a smaller revenue base than AWS, making it easier to post such big numbers, the growth is telling and impressive.

What's important to note is that in the cloud arms race, the weapons vendors are honing in general are good for customers: Richer features, lower costs, better reliability and broader availability. That being said, lock-in remains a key concern, and Constellation believes most enterprises will end up with a multi-cloud strategy, whether they realize it now or not.

Whitman shoots down Uber rumors: HPE CEO Meg Whitman is not moving into the top slot at embattled ridesharing startup Uber, she said in a number of Tweets. Bloomberg had reported Whitman was on the short list to fill the job, which was vacated by Uber founder Travis Kalanick earlier this year following a series of scandals.

“Normally, I do not comment on rumors, but the speculation about my future and Uber has become a distraction,” Witman tweeted. “I am fully committed to HPE and plan to remain the company’s CEO. We have a lot of work still to do at HPE and I am not going anywhere.”

POV: Other big names are now circulating as potential Uber CEOs, including outgoing General Electric CEO Jeffrey Immelt. Uber has plenty of work to do and its board should deliberately carefully before making a choice. Enterprise IT and Uber aren't often said in the same breath, but for all its faults, the company has been a true industry disruptor and its fate is worth watching closely.

Starbucks heats up its 'digital flywheel' strategy: Coffee and tea giant Starbucks has seen its business ebb and flow over the years—one example is its decision to shutter nearly 400 mall-based Teavana stores—and is betting that a broad digital transformation of both its internal IT and ongoing relationship with customers is the way to long-term success. The company first outlined its "digital flywheel" plan in December, and on its Q3 earnings call this week global chief strategy officer Matthew Ryan gave an update on its plans.

A big part of it is about driving customer loyalty. For example, Starbucks now has 13.3 million rewards program members who account for 36 percent of its U.S. business, Ryan said. There are four segments to the digital flywheel: gaining new customers, spending-based rewards, personalized offers and easier ways to order:

The data are clear that when we acquire a new customer, the act of signing up for a digital relationship results in a sudden and sustained lift in spend, as measured by careful pre/post tracking. That's how we're able to drive so much value from a relatively small portion of customers.

Starbucks Rewards are highly motivating and the conversion to a spend-based program has resulted in a clear lift in member spend. Third, personalization, in which we target specific messages and offers to individual customers based upon their history with us, has proven highly effective, as evidenced by test and control measurements in spend per member. Fourth, mobile ordering remained highly incremental, resulting in many more occasions per customer than would be the case otherwise because the convenience encourages more on-the-go visits.

In addition to our long-term digital technology roadmap, we continue to innovate in the short term around our newer technology platforms. We are expanding personalization by offering new offer constructs, real-time triggers and push notifications to engage customers more deeply, building on the momentum that is generating the higher spend per member.

Ryan had a lot more to say about Starbucks plans; a transcript is available here (login required).

POV: Retail is a game that gets tougher all the time, but Starbucks future plans are ambitious and it's aleady been an early mover in customer engagement practices that lead to increased spend. There's something many enterprises can learn from its strategic direction.

 

Future of Work Marketing Transformation Matrix Commerce Next-Generation Customer Experience Tech Optimization Chief Customer Officer Chief Digital Officer Chief Executive Officer Chief Financial Officer Chief Information Officer Chief Marketing Officer Chief Revenue Officer Chief Supply Chain Officer

Summer 2017 News Analysis Series - Preview

Summer 2017 News Analysis Series - Preview

Nothing is more feared by the colleagues of the writing press than summer, when nothing happens. But this summer is off to a different start – with substantial news coming out in the 2nd half of July...

 
 
 
 
Here are the key ones for my coverage area on Enterprise Acceleration, Future of Work and NextGen Apps (in alphabetical order and barring nothing else major happens - July ain't over yet):
  • Google introduces Hire
  • Infor introduces Coleman
  • Microsoft makes Azure Stack available
  • Oracle puts money into IaaS
  • SAP makes Leonardo more tangible
  • Samsung has a its best quarter
  • Workday announces a PaaS
 
And I  will try a new format across these blog posts:
  • What’s the news – A quick paragraph on what happened – with link to vendor announcement.
  • Why it matters – My take why this is a key development.
  • MyPOV – My usually take on the news.
  • CxO Advice – What’s a CxO to do now. Some advice on the next steps and for who it matters.
Hope you enjoy the format – let me know what you think – stay tuned.
 
 
Future of Work Tech Optimization Innovation & Product-led Growth infor Google Oracle Microsoft Chief People Officer

Digital Transformation Digest: Slack Off the Block, Whitman to Uber? And More

Digital Transformation Digest: Slack Off the Block, Whitman to Uber? And More

Constellation Insights

Slack off Amazon's shopping list?: Last month, Bloomberg reported that Amazon was contemplating an acquisition of group messaging platform Slack for up to $9 billion. Now the wire service is back with a new report, also citing anonymous sources, stating that Slack is raising a $250 million funding round, and that acquisition talks "have cooled in recent weeks."

POV: While Slack has five million daily active users, it only launched its enterprise edition in January. But Slack maintains that it has brought a mature initial product to market that's ready to serve large companies at scale. Slack integrates with Microsoft's Office platform but also competes with Redmond's Teams product. Would it make sense as part of Amazon? Constellation VP and principal analyst Alan Lepofsky explores that question right here.

Whitman taking the wheel at Uber?: From the "didn't see that one coming" department, Bloomberg is also reporting that Hewlett-Packard Enterprise chief Meg Whitman is on the short list of candidates to fill the empty CEO slot at embattled ridesharing company Uber. An HPE spokesman told Bloomberg that Whitman is "fully committed to HPE and plans to stay with the company until her work is done."

POV: Whitman would be an ideal CEO for Uber on a number of fronts. She's a highly seasoned and senior tech executive who has led major corporate transitions, namely the 2015 split of HP into two separate companies. (However, opinions vary greatly on how well that transition has gone.) Whitman is also politically well-connected, something Uber needs as it fights regulatory battles.

In addition, Whitman is a woman. Uber founder Travis Kalanick stepped down earlier this year, with the final straw being revelations about a pervasively sexist environment at the company. Whitman is respected for far more than her gender, of course, but Uber's pledge to change its culture would carry more weight with somebody of her stature at the helm.

Will Whitman go? The HPE spokesman's quote really doesn't rule anything out. Committments don't have to last forever and Whitman may have already decided her "work is done" there. She has also chosen this week to announce her departure from HP's board of directors.

Facebook adds more business features to Messenger: Chatbots are becoming table stakes for any company's sales, marketing and support business, particularly in the B2C arena. To that end, Facebook is adding a series of new features to its Messenger Platform focused on delivering more useful and intelligent chatbots. Here are the key details from a Facebook blog post announcing Messenger 2.1:

Built-in NLP to enhance automated conversations: This is a simple way for developers to incorporate NLP into their bots. When Built-in NLP is enabled it automatically detects meaning and information in the text of messages that a user sends, before it gets passed to the bot. This first version can detect the following entities: hello, bye, thanks, date & time, location, amount of money, phone number, email and a URL. This is the first step in bringing NLP capabilities to all developers, enabling brands to scale their experiences on Messenger.

Other important new features include improved support for payments, additional "call to action" buttons—including Shop Now and Get Support—developers can use on pages. Facebook's blog post goes into more detail.

POV: Facebook is still in the early stages of monetizing Messenger, currently serving up ads to small numbers of users, CEO Mark Zuckerberg said on the company's Q2 earnings call this week. There's a longer-term strategy in place, he added:

The biggest strategic thing that we really need to do in messaging right now is make it so that people organically interact with businesses and that that is a good interaction both for people and for the businesses.

If you're a business and you have a higher ROI for interacting with a person in your messaging thread than you do on the mobile web or trying to get them to install an app, then that creates this positive feedback loop, where you're going to point your ads towards the Messenger thread. You're going to invest more of your engineering resources in building out the content and experience on the Messenger thread.

POV: Zuckerberg and other executives fielded a slew of questions from analysts about Messenger monetization on the call. Again and again, they painted a similar response: Facebook will take its time figuring out how to make money on Messenger while also pleasing users in the process. It's a good way to go but how Facebook executes the strategy will be something to watch.

Adobe adds more AI to Target: We hear the phrase a lot—mass personalization at scale. That's what Adobe is attempting to deliver with an update to Target, the ad-targeting engine derived from the acquistion of Omniture. For one thing, brands will now be able to add their own algorithms and data models to Target. Adobe is also integrating Target with its Sensei machine learning and AI framework.

What kind of personalization? Adobe's announcement gives the example of a hotel chain using Target to deliver offers to reward members based on the fact it knows the customer has a track record of traveling to warm places.

POV: "Marketers have been challenged with segmentation and the one-click personalization with be a welcomed feature," says Constellation VP and principal analyst Cindy Zhou.

Legacy watch: Mega-bucks government IT system holding data hostage: A $364 million computer system that is supposed to run Rhode Island public assistance services is unable to furnish federally-mandated quality control reports for its food stamp program. While it's just a threat for now, the feds say continued noncompliance could lead to "suspensions/disallowance" of federal dollars, as the Providence Journal-Bulletin reports.

Specifically, the system can't separate out food stamp information from other public-assistance data. It was launched last year despite protests from federal officials that it wasn't ready—calls that were apparently all too prescient. Other hiccups with the system have led to what was at one point a backlong of 14,000 pending applications for benefits.

POV: System failures and government IT projects unfortunately are phrases often said in the same sentence. This is the largest IT project in the state's history and to say its rollout wasn't executed well is an understatement. The question now is how quickly the state can stabilize it, and just as importantly, determine accountability for its shortcomings.

 

 

Future of Work Marketing Transformation Matrix Commerce Next-Generation Customer Experience Tech Optimization

Event Report - July 2017 Microsoft London AI Event

Event Report - July 2017 Microsoft London AI Event

We had the opportunity to attend Microsoft’s AI event held in London on July 12th 2017. The event was Microsoft R&D centric, with R&D Leader Harry Shum leading the presentation and more key R&D leaders at hand to share progress and plans that Microsoft has in AI space.

 
 

So, 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:
 
Microsoft gains momentum with broad AI portfolio – One can argue that Microsoft may have come late to the recent Machine Learning / AI market trend, but the vendor is certainly into the market now, with a broad, possibly one of the broadest offerings. AI changes almost all of Microsoft’s products, and the vendor has a broad product portfolio – so this does ultimately not come as a surprise at all. So, we see AI offerings coming to Microsoft Office, to Outlook all the way to the virtual keyboard offering SwiftKey (that Microsoft acquired February). Languages remain a border for communication and the online translation capability that Microsoft has built – are very good, embedded in to PowerPoint at first. Yours truly was able to test it with English, German and Italian – and it worked better than I expected. Especially as the translation model still operates on a generic universal (but likely monster size) pattern recognition model. It’s fascinating to see how well an older technology approach can do when pushed very hard (and on the flipside, shows that e.g. Apple – using the same architecture for Siri – has not done much to help her understand users). Speaking of Apple – Microsoft continues its ‘embrace & extend’ strategy for iOS and Android, also for AI, with a release of the “Seeing AI” product – a fun implementation of picture / pattern / emotion recognition to understand and see how the machines can make sense of the world around us. Finally, Microsoft goes all the way to the roots of its AI efforts, to Bing, where almost all of AI started and showed the Bing Entity Search API. This API, as well as the gesture API of Project Prague are interesting and important developer offerings to attract them to build next gen Applications on Microsoft cloud technology.

Beyond the direct product impact, Microsoft announced “AI for Earth” bringing the heft of R&D and deep pockets of Microsoft to the challenging environmental questions that the world sees – and where AI certainly can help. 
 
Packed Event
Dedicated AI team in Microsoft Research – Microsoft also announced the formation of a dedicated team within its research organization that will focus on a more integrative approach to AI. The team of more than 100 researchers has representation in all the company’s labs around the world, including  the UK, the location of the event. Good to see Microsoft adhering to good research principles when it comes to basic research (as it needs to happen with AI) – starting with a cross-disciplinary approach. Microsoft has the deep pockets to do this, one of the few vendors who can, and it will be interesting to see what the approach will yield. Given that there is a global arms race towards usage of AI for all kinds of computing questions, it will be key that over the multi-disciplinary approach Microsoft doesn’t not neglect speed to market. But that’s a common challenge Microsoft has been able to master well during its overall existence.
 
 
Chris Bishop announced AMLab partnership


Democratization of AI and Ethics – Always good to see the commitment to bring AI to more people and use cases, one of the leitmotivs of any Nadella presentation these days. The event was certainly in line with this and presented many examples for it – all starting with AI for Earth. And good to see that Microsoft has created an ethical design guide for all its employees working on AI. An important subject and mechanism amongst the ‘grown up’ AI vendors.
 
Great London Views
 

MyPOV

A notable event to attend, showing Microsoft’s across the board commitment and push to AI. AI everywhere is pretty much at play at Microsoft and is showing first and promising results. Having the event in London showed the R&D investment that Microsoft is doing beyond Redmond / the US and the UK certainly has a substantial contribution to AI in general and a significant Microsoft presence. But it is early days, e.g. one of the mechanisms that have always worked for Microsoft - connecting it all into a suite of consistent and user centric offerings has not happened yet. E.g. translating a slide with a picture of a person in PowerPoint, mentioning the name of the person - will not (yet) make it a recognized person in the “Seeing AI” app. And there are of course the downsides from a data privacy perspective – but Microsoft must realize that its competitors in the space are ruthless at leveraging those synergies. It is likely Microsoft needs (and will) do the same.

On the concern side, Microsoft has to find a match to the uptake in mindshare and real-world AI deployments that Google’s Tensorflow is seeing, if not Tensorflow will be the Kubernetes of 2017 – a Google launched open source offering that dominates an important aspect of the cloud infrastructure. And one can argue that Tensorflow is even bigger stakes than Kubernetes, as it not only dominates the AI / Machine Learning equation, but due to data gravity pulls along substantial data storage and processing load. Not to mention the model training and execution loads.

But for now, it is good to see the progress at Microsoft, who is pushing AI wide and deep across its existing products, as well as new offerings. A deep R&D and research check book certainly helps, but must show tangible, shorter horizon returns to capture what matters most in AI these days – cloud load – both from a storage and compute perspective. Stay tuned.


Want to learn more? Checkout the Storify collection below (if it doesn’t show up – check here).

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