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AWS reInvent 2016 - Growth at full speed

AWS reInvent 2016 - Growth at full speed

We had the opportunity to attend AWS reinvent, held this week in Las Vegas, from November 27th till December 2nd 2016. It was the largest reinvent ever, with over 32000 attendees… not only to me it appeared that reinvent becomes the new VMWorld – the yearly get together of the IT industry. Only ones missing were the hardware vendors, for obvious reasons. 

 
 


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:

The battle for load wages on – All IaaS players need to attract load to their cloud in order to achieve and maintain scale. This was also obvious at reinvent as AWS made several moves to get more load to AWS. The prime targets in this race are the SaaS players, as a partnership with a SaaS player gives access to a lot of conform, standard and repeatable load. Even better the SaaS player will advertise and help move its customers over. So that AWS wanted to have Workday is no surprise. That Workday picked AWS for production loads was a little more, given the recent decision to run development and test loads on IBM Cloud (read here). Earlier this year AWS got commitments from Salesforce (see here) and SAP for BW4HANA (see here). The next lower priority to get load is to have enterprises build their next generation applications on the vendor’s platform and AWS provided a number (see below) of new services to make it attractive to build these. The prime ones are around BigData and Machine Learning – and AWS announced Amazon Athena (query S3 with SQL) and AWS Glue (ETL and more), Amazon AI, Rekognition, Polly and Lex). And once they are built you need to make it easy to operate on the platform, it needs to be secure (AWS Shield), and efficient (Amazon Lightsail, EC2 Systems Manager, AWS CodeBuild, X-Ray and Batch). And customers want to get more value out of their code (AWS Snowball Edge – runs AWS Lambda) and use more of their skills (adding C# to AWS Lambda, adding PostGreSQL to Aurora). But a limitation can be the data movement, so the catchy announcement was the AWS Snowmobile, a container that can move up to 200 PB from on premises to cloud. All are valid offers and arguments for enterprises to use AWS as their IaaS. 

 
Holger Mueller Constelllation Research AWS reInvent 2016
All reInvent 2016 announcements


Ease of use and consumption – With the growth of AWS – now at over 3.5k+ capabilities – if you add all the innovations up from the start) has become a complex system. Education was prominent as was certification. We are always fans of valid and hard certification tests, as they help enterprises to know which consultant / programmer can do what. But at the core it is about software based improvements and what stood out to me were AWS X-Ray, AWS CodeBuild and the enablement of CI and CD processes in AWS.

 
Holger Mueller Constelllation Research AWS reInvent 2016
All of AWS in 1 slide


AWS doubles down on AWS Lambda – Since its announcement, AWS Lambda has been an interesting and differentiating way for building code in AWS, bring the code to the data, only pay when used etc. AWS Lambda as a language and platform become now more prominent as AWS uses Lambda as well to move code from AWS outside the connected cloud environment, e.g. on the new AWS Snowball Edge. Somebody deserves more than paycheck and bonus of adding the light weight application server to S3, which in my guess is the platform for all of this. This is good news for enterprises, as AWS proprietary code build on AWS Lambda can go more places. 

 
Holger Mueller Constelllation Research AWS reInvent 2016
Vogels walks by AWS Athena


My picks – Very hard to pick the Top announcements for each day, maybe AWS (and me) need to think of different categories (e.g. developer, CIO, data scientist, DevOps etc.) – but here you go: For Day #1 for me it is Athena – being able to query data in S3 with well-known SQL is a win win. More data gets accessible with the #1 query language. And given that S3 is one of the major attractions of AWS, a key move by the vendor. For Day #2 it is AWS Glue: Every year AWS tries to take a piece of traditional IT spend and offer an alternative – it was Amazon Workspaces 3 years ago, Amazon Aurora 2 years ago and Amazon QuickSight last year – now it is AWS Glue – an ETL and more to get data moved, enriched, etc. to give users more time to do what matters: Analytics. 
 
Holger Mueller Constelllation Research AWS reInvent 2016
Vogels announces AWS Glue
 

MyPOV

AWS growth keeps going strong, frankly at an amazing rate. By now it has attracted every services player (it has signed up over 10k partners in 12 months), has been evaluated by all major ISVs, is the default platform for most startups, and few enterprises are not running one piece of automation or the other on the platform. And growth both in functionality as well as business does not seem to slow down, not even showing a sign of weakness. Au contraire, the number of new capabilities YoY has increased by almost 50% - from a base of 700 to 1000. This is all good progress and sailing by AWS, making it the clear market leader for IaaS and the PaaS related services on top of it. And new use cases, like e.g. IoT was presented in the keynote with Italian energy giant ENEL, continuing the tradition that keynote speakers for IoT come from European enterprises. And AWS is growing up, with a separate partner program, region, country specific events at reinvent, even the stream was subtitle in 4 languages.

On the concern side, AWS was not able to deliver a major ‘All in’ customer to the two keynotes, admittedly GE is a tough act to follow, but I would have expected to see more public traction. Instead we had repeat keynote presenters, e.g. FINRA. Nothing wrong with this, good to see an update. The event was well visited from an international perspective, but apart from ENEL, I didn’t recall non-North American customers presenting. Maybe AWS keeps them stocked for the many regional AWS Summits that happen throughout the year. But these are minor concerns compared to who AWS wants to keep operating: Operating models are different when you are the web serviced division of an online retailer with a few 100Ms in revenue (as AWS was 5-6 years ago), experimenting with services and seeing what ‘sticks’ (CTO Vogels back then) – vs. being a 10B+ key IT infrastructure provider. I asked CEO Jassy about this and his answer was clear – AWS will not slow down. And while 1000 new capabilities will be manageable it will be 1500 (extrapolation from me here) next year, and close to 3500 in 2 years, if AWS keeps pace. At some point AWS will have to package, simplify, provide version to its offering – maybe the start will be separate conferences as the Sands Convention Center was at times over the limits of its capacity.

But for now, all is well for AWS, it needs to catch up in some areas like e.g. Machine Learning and it was interesting to see how AWS execs positioned this, but that was bound to happen. And frankly is not expected by enterprises either, leading in all aspects of next generation applications is no longer realistic given the wide range of products and services offered. And AWS has achieved what it wanted to get done since a long time, be the platform that cannot be ignored and must be evaluated when enterprises make cloud infrastructure decision. Stay tuned for more.


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





 Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here.
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Google App Maker enables citizen developers with low-code development tool

Google App Maker enables citizen developers with low-code development tool

Earlier today Google announced Google App Maker, an important step in Google’s overall portfolio to get a bigger piece of enterprise automation, addressing the citizen developers and the larger capacity of low code developers that together have the potential to build user driven end user applications and maybe more. 
The blog post (Google doesn’t do press releases) can be found here, time to dissect in in our customary style:. 
 
G Suite is designed to help you do your best work, whether that’s through real-time collaboration that brings your teams together, or machine intelligence that expedites everyday tasks via automation. We understand, however, that your company has unique needs around processes and workflows that G Suite alone can’t solve for. We also understand that your employees rely on many third-party apps for things like customer relationship management, support, and project management to get their job done. As a result, we’re announcing two new ways to customize and extend your G Suite Platform today: App Maker, a new low-code developer tool for building custom enterprise applications, and the addition of 7 new partners to our “Recommended for G Suite” 3rd party partner program.
MyPOV – Good intro on the challenge that no software package will ever address all the enterprise automation needs.
Introducing App Maker, a new way to build powerful apps for your business. App Maker is a low-code, application development tool that lets you quickly build and deploy custom apps tailored to your organization’s needs. So whether you’re looking for better ways to onboard new team members, staff projects, or approve employee travel requests, App Maker helps you build an app for these use cases in literally days instead of months.
MyPOV – Good summary of what App Maker does – fill the need for speed to build specific apps that solve a pain point for an enterprise.
? Go from idea to app, fast:
?It’s easy for IT or even citizen developers (including analysts and system administrators) to quickly iterate from a prototype all the way to deployed app with App Maker. It offers a powerful cloud-based IDE that features built-in templates, a drag-and-drop UI, and point-and-click data modeling to accelerate your app development efforts. App Maker also embraces open standards like HTML, CSS, Javascript and Google’s ?material design? visual framework, so your developers can create beautiful apps quickly, in a development environment that leverages their existing skills and knowledge.
MyPOV – Cloud based, drag and drop, point and click are all key elements of a low code environment, using commonly knows mechanism to get usage and adoption up quickly for a new product. Good to see standard based support. And the uptake of Google’s UI framework makes the apps look good, which matters also for low code apps.
 
? Build integrated, tailor-made solutions for every need:
?App Maker lets you build a range of applications customized to meet the needs of your organization and connects to a wide range of data sources and APIs. This unique flexibility starts with built-in support for G Suite? products as well as popular services such as Maps, Contacts, Groups and more. You can also leverage other Google Cloud services such as the ?Directory API? and Prediction API?, or third-party APIs, to create richer, more intelligent application experiences.

MyPOV – No surprise – many of the Google capabilities are exposed to App Maker developers, something to be expected, and key to make these applications integrated and powerful from the get go.
 
? Focus on delivery, not infrastructure:
App Maker is built on the same secure and trusted infrastructure as G Suite. Developers can safely deploy custom apps in the cloud without worrying about servers, capacity planning, infrastructure security and monitoring that would otherwise require internal support from IT. IT can also manage these custom apps in the same way that they manage G Suite apps like Gmail, Drive, and Docs — with zero click install and administration.
MyPOV – Good to see that IT is involved… the first wave of end user / citizen developer apps (think spreadsheets) often flew under the cover contributing to the phenomena of shadow IT. Integrating App Maker with the needs of the IT side is a key move for successful enterprise adoption.
 
Over the past few months, we’ve previewed App Maker with a handful of large G Suite customers and many have successfully built and deployed applications to their organizations already. We’re also working with the following consulting partners to help deliver solutions to our joint customers: Appsbroker, gPartners, G-Workplace, Ignite Synergy, Maven Wave, PwC, SADA Systems, and Tempus Nova. […]
 
MyPOV – Always good to work with customers and good to see them mentioned here.
 
If you’re interested in trying out App Maker, it’s available today through our ?Early Adopter Program f?or ?G Suite Business? customers. Apply for the EAP ?here?.

MyPOV – Good to see App Maker is announced and available to explore with an EAP. Always good to see immediate availability for evaluation at announcement.
 
Announcing new apps for the ‘Recommended for G Suite’ program While G Suite helps your teams communicate and collaborate more easily, we understand that you also rely on other apps to manage line of business functions like sales, marketing, or operations. We want to make it easy for you to integrate these experiences with G Suite, and that’s why we ?introduced the Recommended for G Suite program? last year. The program hand-selects market leading applications, built by independent software vendors (ISV), in various categories including project management, customer support, finance and accounting. Today, we’re adding seven new apps to the program that can help your organizations and teams be more productive. In addition to being innovative and working well with G Suite, we selected these apps because we believe they solve key problems where deeper integration and direct support with G Suite enables our joint customers to be more successful. Each application also goes through rigorous security testing and quality measures to qualify for the Recommended Partner program.

MyPOV – Always good to see partner programs to add value.
 
Our new Recommended Partners include 
? Asana? for project & process management  
? DocuSign? for eSignature 
? Freshdesk? for customer support 
? LumApps? for corporate & social portal 
? Virtru? for encryption 
? Xero? and ?Zoho Invoice? for finance & accounting

MyPOV – Good to see a list of partners at launch of a new product – adding immediate value and validation to the offering. More importantly it solves the silo cross integration that many enterprises struggle with.
 

Overall MyPOV

Addressing the lack of developers and the need for enterprises to become more agile with software is a good need to address, so it’s good to see Google launching its product for low code developer with AppMaker. Combining G Suite with custom code and partner apps can deliver a substantial number of use cases enterprise are striving for. So, a good move by Google.

On the concern side – these frameworks need to be open – even for alternative products, as enterprises use a mix of solutions. For G Suite it means opening to e.g. Microsoft Office. But it is early days and you need to crawl before you can walk, so nothing to expect from a version 1 that Google has launched this week.

We will be watching the Low Code / No Code area going forward – stay tuned.

 
More about Google:
  • First Take - Google enters enterprise software space with Google Jobs API - read here
  • Event Report - Google I/O 2016 - Android N soon, Google assistant sooner and VR / AR later - read here
  • First Take - Google Google I/O 2016 - Day #1 Keynote - Enterprise Takeaways - read here
  • Event Preview - Google's Google I/O 2016 - read here
  • Event Report – Google Google Cloud Platform Next – Key Offerings for (some of) the enterprise - read here
  • First Take - Google Cloud Platform - Takeaways Day #1 Keynote - read here
  • News Analysis - Google launches Cloud Dataproc - read here
  • Musings - Google re-organizes - will it be about Alpha or Alphabet Soup? Read here
  • Event Report - Google I/O - Google wants developers to first & foremost build more Android apps - read here
  • First Take - Google I/O Day #1 Keynote - it is all about Android - read here
  • News Analysis - Google does it again (lower prices for Google Cloud Platform), enterprises take notice - read here
  • News Analyse - Google I/O Takeaways Value Propositions for the enterprise - read here 
  • Google gets serious about the cloud and it is different - read here
  • A tale of two clouds - Google and HP - read here
  • Why Google acquired Talaria - efficiency matters - read here
 
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my Youtube channel here
 
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AWS Analytic and AI Services Are No Surprise, But They Will Succeed

AWS Analytic and AI Services Are No Surprise, But They Will Succeed

Amazon Web Services is following in competitor’s footsteps with Athena, QuickSight, Rekogntion, Polly and Lex. Head starts won’t matter in the face of Amazon’s scale.

Amazon Web Services CEO Andy Jassy introduced a bevy of new services and capabilities at the AWS re:Invent conference in Las Vegas this week. The new analytic and artificial intelligence (AI) services aren’t unique, but there’s little doubt they’ll be huge hits.

Jassy framed his announcements around the theme of giving enterprises “superpowers.” Examples included powerful new compute instances supporting superhero-like speed, new database services enabling “flight” from the high cost of commercial databases, and new IoT services enabling “shapeshifting” out to the edge of the enterprise.

I was most interested in the “X-Ray Vision” introductions, which included Amazon Athena and Amazon QuickSight analytic services and Amazon Rekognition, Amazon Polly and Amazon Lex artificial intelligence (AI) services. Here’s a recap along with my take on each announcement.

#Reinvent, @AWS, #Analytics

Athena: AWS has Redshift for high-scale structured-data analysis and EMR (Elastic MapReduce) for high-scale unstructured data analysis. The company has added a third leg to this data-analysis stool with Athena, which offers interactive SQL analysis of data in Amazon S3 (Simple Storage Service). Athena promises a simpler and less costly alternative to EMR for analyzing semi-structured data such as clickstreams, logfiles and other sparse and variable data types that aren’t easily loaded into database services. Query times are said to be in the sub-second range, even at high scale.

MyPOV on Athena: This is likely to be a handy and cost-effective option, but I’m guessing popularity and use-case diversity will depend on the depth, diversity and applicability of SQL. Just what kind of queries will it support against what types of data? Microsoft just announced a similar capability with Azure Data Lake Analytics with U-SQL querying. But the Azure Data Lake service was also just announced whereas S3 is the well-established kingpin of low-cost cloud storage. In short, Amazon has a readymade market of would-be Athena customers.

QuickSight: Amazon quietly announced the general availability of this business intelligence service a couple of weeks ago, which was surprising given the fanfare around the QuickSight announcement at last year’s re:Invent conference. In fact, Amazon has been quiet about QuickSight all year, and I heard rumblings that it’s because the project hit a few roadblocks. There’s a reason BI has been hard for vendors to master all these years, so I’m not surprised there were challenges creating a tool that “makes BI easy for all employees, regardless of their technical skill,” as AWS promised. If the data you want to analyze is structured and already available in an Amazon source (RDS, Aurora, Redshift, or a comma-delimited file on S3), QuickSight can infer data relationships and get you to visualizations in minutes. What’s more, the query speed of the built-in SPICE columnar, in-memory engine is plus.

MyPOV on QuickSight:  On the back end, QuickSight offers less automagical understanding of data structure than I expected, based on last year’s announcement. To get data in and integrated, there are data-prep filters, various connectors and a table-join UI that are best described as tools for power users. It’s like working with a basic, self-service data-prep tool, and will hardly be automatic. As for tapping unstructured sources, such as EMR, that was promised last year but omitted from the launch press release, so I’m guessing it’s still in the works. On front-end analysis, Amazon was originally going to use technology from ZoomData, but that was dropped somewhere along the way. When I last saw a QuickSight beta demo in August, executives talked about adding common visualization types including stacked bar, area and bubble charts – evidence of starting from scratch.

In short, I believe QuickSight remains a work in progress with room for improvement. Nonetheless, given that there’s a free tier of the service available that can be used with up to 1GB of data — the Standard Edition costs $9 per user, per month for analyzing up to 10 GBs of data — I have no doubt that QuickSight will see lots of use and that customers will drive improvements over time. That’s pretty much the way Microsoft Power BI has evolved. I’d note that none of the freemium services (adding IBM Watson Analytics to Power BI and QuickSight) have obviated the need for more powerful and capable BI options.

#Reinvent, @AWS

Rekognition, Polly and Lex AI Services: There have been many AI-related announcements this year, and AWS CEO Jassy took pains to remind re:Invent attendees that Amazon has been hard at work on AI since that advent of the company’s well known retail recommendation engine. To bring more internal Amazon capabilities to cloud developers, AWS introduced three new services. Amazon Rekognition is an image-recognition service that can spot objects (car, pencil, cat), scenes (outdoors, mountain, forest) or faces (man, woman, boy, girl) within images. It can also detect sentiment (smiling, frowning, angry) and, with training, facial recognition (this is Jeff Bezos, that is Satya Nadella). Amazon Polly is a text-to-speech engine, and based on this week’s demos, you can expect pretty fluid and natural-sounding utterances. Lex, which is based on Alexa, is a speech-recognition and natural language understanding service. Amazon has had nearly two years and billions of conversations with millions of Amazon Echo customers to train this service.

MyPOV on Rekognition, Polly and Lex: Google and Microsoft introduced similar services earlier this year, but Amazon is right to point out that it has been working on these capabilities for a long time, even if they weren’t available as cloud services. I’ll be really interested to see the degree of training required, particularly for understanding the context of a specific application. AWS demoed an airline flight-booking app with a natural language UI using Lex and Polly. Interpretation was said to based on a built-in knowledge graph that lets you add your own metadata. No doubt developers will have to do more than build an app and plug in the APIs.

Soon enough we will see how numerous and innovative the AI-powered apps are emerging from each of the big public clouds. Google may have an edge on data, between its search engine and the Android operating system. But I’m counting on Amazon’s big edge in cloud developer ranks (not to mention the breadth of its services portfolio) to give it a running start.

Related Reading:
Salesforce Einstein: Dream Versus Reality
Oracle Vs. Salesforce on AI: What to Expect When
Tableau Sets Stage For Bigger Analytics Deployments
AWS re:Invent: Five Takeaways On New Services

 


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AWS reInvent keynote analysis - AWS enters the hardware business

AWS reInvent keynote analysis - AWS enters the hardware business

Already in Las Vegas since two days, having the opportunity to attend AWS reInvent and getting briefed before hand by AWS on all announcement - a useful, different approach how to run these events.

 
So for the impatient ones - take a look at the video... 
 
 
Always tough to pick the key takeaways - but here you go - one slide summary:
 
 
 
 
Let's go through the details:
 
Lots of new Instance types - A little more than the usual innovation here, 4 brand new instance type family members. GPUs are becoming attachable, a good move but probably also making a virtue of a larger server install base that can be complemented by GPU capabilities. Also FPGAs, they can be programmed and the programs can be monetized on the marketplace. Not many enterprises will do that as Jassy admitted, still a good option. 
 
Holger Mueller Enterprise Software Musings reInvent AWS Cloud
New AWS Instances 
 
 
AI push - Lex most interesting - It's the fall of AI and AWS also announces new capabilities - on voice production and picture recognition. More interesting will be Amazon Lex - the Alexa toolkit made available to build bots. All good progress, but AWS is behind here and catching up.
 
Holger Mueller Enterprise Software Musings reInvent AWS Cloud
Amazon Lex Capabilities
 
 
Workday chooses AWS for production loads - The race for enterprise load is on amongst the IaaS vendors, and Workday is a prime target. Good for AWS to get the Workday production load, IBM was earlier the partner for development and production instances. May create some DevOps headaches. But overall a win for customers of both AWS and Workday: AWS customers get more scale, Workday customers see their vendor spending less on CAPEX, which now can go into product.
 
Holger Mueller Enterprise Software Musings reInvent AWS Cloud
Workday Plans with AWS
 
Greengrass and Edge Computing - AWS needs to bring its code closer to the end points, AWS Greengrass is a promising start for that. It needs to be in AWS Lambda, which allows to run on all Amazon S3 instances (see last year's event report on the kudos I gave for the wise foresight to make mini application servers out of 'dumb' storage servers. This is now a benefit from that decision.
And Snowball get smarter - hence my title with the hardware business. What AWS positioned last year as a portable disk storage to transfer data - is no becoming a server with compute (lambda) in the form of the AWS Snowball Edge. 
 
Holger Mueller Enterprise Software Musings reInvent AWS Cloud
AWS Greengrass Capabilites
 
 
 
Snowmobile - AWS wants enterprise load and data, and transferring very large amounts of data takes time. The example was 1 Exebyte, that even through a speedy 10 GigaBit uplink would take 26 years to transfer. Enters AWS Snowmobile, a truck with a container that can store up to 100 PB. An interesting approach and a manifest of network speeds lacking industry progress that we see in compute and storage. 
 
Holger Mueller Enterprise Software Musings reInvent AWS Cloud
Enters the AWS Snowmobile
 
 

MyPOV

A very good start for AWS for reInvent. The vendor keeps innovating, and growing  way to beyond the Venetian / Palazzo. The conference at times felt like the VMworld of the past - the more or less formal get together of the IT industry. And in the overall grab for load across the IaaS vendors, AWS is doing well - with the Workday partnership it lands another vendor with homogeneous load that will give it more load. With Workday starting in the new region in Canada - it gives right away load to that region. And extending more code execution capabilities at the edges and on devices gives AWS centered enterprise more reach and value for its software. Lastly moving data remains a challenge, AWS Snowball has been a success for AWS, we will see how many Snowmobiles are hitting the road in the next 12 monhts
 
Holger Mueller Enterprise Software Musings reInvent AWS Cloud
AWS New Capability Growth
 
 
On the concern side, AWS has an issue of riches. With growing new capabilities from 700 to 1000 year over year - it is a lot for customers, prospects and partners to digest. I asked Jassy in Q&A and it is clear that AWS - at least for now - is not concerned about this. Architects help customers to walk through the challenge to find the right services for their use case is the answer. That is a common and proven approach in the industry - but in the past we have seen the architects at some point risking / starting to argue in front of the customer... then it will be too late. Simplification, packaging, repeatability are some of the areas to watch.
 
For now a great start for AWS reInvent, stay tuned for more. The inflection point - as mentioned in the headline, is AWS now shipping a server - the Snowball Edge is nothing else but that.... and with that AWS enters the hardware business. Never a dull moment. Stay tuned from more from AWS reInvent. 
 


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

Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here.
 
 
More on AWS:
 
 
  •  News Analysis - VMware has found AWS as its public cloud IaaS  - read here
  • First Take - SAP BW/4HANA - Data Gravity and Cloud win - read here
  • Event report - AWS Enterprise Summit 2016 Frankfurt - The German Road to Cloud adoption is ... long - read here
  • News Analysis - Amazon Web Services Cloud now speaks… Hindi - Indian AWS Data Centers available - read here
  • News Analysis - Salesforce selects AWS as preferred Public Cloud Infrastructure Provider - Good move - read here
  • Event Report - AWS re-Invent - AWS lobbies for the enterprise - DB and IoT are the cheese - read here
  • First Take - AWS reInvent Wednesday Keynote - Good start & AWS is going for the enterprise read here
  • Event Preview - AWS re-Invent 2015 - watch / read here
  • Event Report - AWS Summit Berlin - AWS spricht Deutsch - but when will the Germans speak cloud? Read here
  • News Analysis - AWS learns Hindi - Amazon Web Services announces 2016 India Expansion - read here
  • Event Report - AWS Summit San Francisco - AWS pushes the platform with Analytics and Storage [From the Fences] read here
  • Event Report - AWS re:invent - AWS becomes more about PaaS on inhouse IP - read here
  • AWS gives infrastructure insights - and it is very passionate about it - read here
  • News Analysis - AWS spricht Deutsch - the cloud wars reach Germany - read here
  • Market Move - Infor runs CloudSuite on AWS - Inflection Point or hot air balloon? Read here
  • Event Report - AWS Summit in SFO - AWS keeps doing what has been working in the last 8 years - read here
  • AWS  moves the yardstick - Day 2 reinvent takeaways - read here.
  • AWS powers on, into new markets - Day 1 reinvent takeaways - read here.
  • The Cloud is growing up - three signs in the News - read here.
  • Amazon AWS powers on - read here.
 
Tech Optimization Innovation & Product-led Growth Event Report amazon Executive Events Chief Information Officer

5 lessons enterprise CxOs can learn from the US Elections

5 lessons enterprise CxOs can learn from the US Elections

By now we have some weeks of distance to the recent US elections – so time to muse about the enterprise takeaways.
 


There are many repercussions, let’s look at the general themes, I may blog closer to Future of Work and Next Gen Apps implications sometime soon…

Disruption has reached Government – For half a year half of the country was not taking Trump seriously, for half a year half of the country and the media though he could not win… and now half of the country isn’t happy with the election outcome. When things happen that a lot of people did not expect – we talk about disruption: A political newbie like Trump has not only disrupted the Republican establishment (which amused half of the country) but also the best candidate the Democrats had with Clinton (with now half of the country unhappy).
In my lifetime, something similar has only been seen in Italy, when Silvio Berlusconi decided to run for prime minister, and won in about 6 months from that announcement in a general election... But that was a different time, and Berlusconi owned a substantial piece of the Italian media landscape. And it was before we knew what social media was. So now the political class is disrupted by an entrepreneur, who beat the best and brightest of both parties in the last 12 months through a primary and general election. What Trump will do as a president is something for the future - but if you consider that it is a key competence of the political class to get (re-)elected, certainly we can consider the political class to be disrupted. If that will happen to government, too, remains to be seen. 


Enterprise Lesson #1 – Disruption happens everywhere – likely more in the future – enterprises need to be ready for continuous disruption going forward. If government ‘best practices’ get disrupted we see more changes and possible disruption coming towards the enterprise, more than ever time to pay attention what is happening in Washington D.C.

Get more, even win with less – For a long time the conventional wisdom in US elections was that who spent more would win. Not this time, so an encouraging development for enterprises, who are challengers and don’t have the largest budgets. With the right message for an audience / market and working the amplification that media can give to anyone – Trump won with less campaign spend than Clinton. That it was some of its own funds may have changed some of the investment decisions. Enterprises give executives and employees stock to make them part of the decision making. It certainly may have played a role… the irony is that Trump even spoke openly about the strategy – and it still worked for him. 


Enterprise Lesson #2 – It does not have to be more and more all the time. Spend wisely and smart and you may overtake the bigger competitors with the right strategy. And it can be public, but can’t be imitated.

Know your customers – Well this maybe a stretch – but ultimately voters are ‘one time’ customers of a sort. The risk is that many executives and decision makers – especially when based, raised and risen on the coasts – don’t know the customer in the middle of the country anymore. There is probably only very few research where outcomes are more polled and researched than a US federal election. Still the political establishment, the media, pundits all got surprised. Certainly, they need to do a trip to understand the Trump voters and ‘sell’ to them better at the next occasion. 


Enterprise Lesson #3 – Never hurts to know your customer. Elites and closed clubs lose touch of the rest of an economy and socienty easily, has happened before and will happen again. Understand the market holistically and maybe drive across the US next time (and plan a few stops) to get re-connected with the whole market.

Social Matters – It is unlikely that Trump may have won without usage of social media, mostly Twitter. Let’s stay away from the content – but as an amplification tool it has worked and was likely the reason that the Trump campaign could win with a lower spend than the Clinton campaign. Authenticity matters on social media – compare any x Trump vs Clinton tweets and you know who wins in this category. Remember that authenticity does not mean you need to like the content of the tweet. In the long debate between Facebook vs Twitter – for this election Twitter clearly won. 


Enterprise Lesson #4 – Social media matters, when it can be a key contributor to win elections in a country like the US. If you don’t have a social media strategy, time to get one. If you are Facebook heavy, bolster Twitter. Make sure messages are authentic, and resonate with the goal of amplification. The tweet to media connection is one that not only works in politics, but also in business. See e.g. Elon Musk, Mark Andreesen (now on Twitter hiatus) et al.


Don’t take a stake – CxOs are voters, too and entitles to an opinion like everybody. But taking side in any election, particular a close election will always create winners or losers. CxOs need to rethink what side they want to be on, how to deal with the aftermath if they took a side and compare to a general position of neutrality, sparkled e.g. with encouraging employees to vote and other general, pro election themes. 


Enterprise Lesson #5 – Tight elections are always hard. But consider what it means for prospects, customers, partners and employees when a CxO takes a side. Always budget for ample room to rebuild relationships and focus on what matters – growing and protecting the enterprise a CxO is in charge off.

MyPOV

A few weeks out it still is hard to write a blog post on enterprise lessons learnt from this election. Probably not easy to read either… what are your lessons learnt from the last US election that matter for the enterprise? Looking forward to hear from you.


 
More Musings
  • Musings - What is your Twitter Persona? Read here.
  • Musings - Quo vadis Twitter? Who could, should buy Twitter - and what is Twitter really? Read here.
  • Musings - The Bots are coming to your conversation - what are the implications? - read here
  • Musings - We are entering the age of the Über Super Computer - read here
  • Musings - Retail is the breeding ground for NextGen Apps - read here
  • Musings – Time to re-invent email – for real! Read here
  • The Dilemma with Cloud Infrastructure updates - read here
  • Are we witnessing the Rise of the Enterprise Cloud? Read here
  • What are true Analytics - a Manifesto. Read here
  • Is TransBoarding the Future of Talent Management? Read here
  • How Technology Innovation fuels Recruiting and disrupts the Laggards - read here
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here
 
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Connected Enterprise 2016- Fireside Chat with Christina Kosmowski, Salesforce and Kim Smith, Capgemini

Connected Enterprise 2016- Fireside Chat with Christina Kosmowski, Salesforce and Kim Smith, Capgemini

Next-Generation Customer Experience Chief Customer Officer On <iframe src="https://player.vimeo.com/video/193582299?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="Market Maker 1-1 Fireside Chat with Christina Kosmowski" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Connected Enterprise 2016 - What's Next For IOT

Connected Enterprise 2016 - What's Next For IOT

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Join industry experts on what has changed in IoT. Discover how IoT is powering new business models, transforming service delivery, and improving outcomes for all parts of this business. Hear how big data, AI, and IOT are converging to transform the future of business.

VP & Principal Analyst at Constellation Research: Andy Mulholland
Chief Commercial Officer at GE Power: Dick Ayres
CTO for Customer Connection at salesforce: Charlie Isaacs
Constellation Research Orbits Member: Brian Katz
Director of Marketing at Plex Systems: Stu Johnson
Head of IoT Solutions at Microsoft: Tom Davis
Chief Digital Architect | Digital Customer Experience at Capgemini: Mark Fodor

Data to Decisions Matrix Commerce Tech Optimization Chief Information Officer On <iframe src="https://player.vimeo.com/video/193582222?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="Visionaries - What&#039;s Next For IOT" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Connected Enterprise 2016 - From Sensors To Smart Services, How IOT Drives Digital Business and CX

Connected Enterprise 2016 - From Sensors To Smart Services, How IOT Drives Digital Business and CX

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The internet of things (IoT) is more than just sensors and devices. As organizations and brands gain context from IoT, they improve relevancy and slowly earn the permission to engage. See how IoT is transforming customer experiences in this panel of early adopters.

VP & Principal Analyst at Constellation Research: Dr. Natalie Petouhoff
VP, Customer Experience: Martin Marcinczyk
Director of Business & Digital Transformation at STANLEY Healthcare: Amihai Zeltzer
Capgemini: Kim Smith
BMW Design Works Group: Peter Falt

Next-Generation Customer Experience Chief Customer Officer Chief Marketing Officer On <iframe src="https://player.vimeo.com/video/193582153?badge=0&autopause=0&player_id=0" width="1920" height="1080" frameborder="0" title="Executive Exchange - From Sensors To Smart Services, How IOT Drives Digital Business and CX" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>

Monday's Musings: Secrets Behind Building Any AI Driven Smart Service

Monday's Musings: Secrets Behind Building Any AI Driven Smart Service

AI Driven Smart Services Power The Future of IOT, CX,  Future of Work, and Block Chains

The combination of machine learning, deep learning, natural language processing, and cognitive computing will change the ways that humans and machines interact with our environments.  AI-driven smart services will sense one’s surroundings, know one’s preferences are from  past behavior, and subtly guide people and machines through their daily lives in ways that will truly feel seamless. This quest to deliver AI driven smart services across all industries and business processes will usher the most significant shift in computing and business this decade and beyond.

Organizations can expect AI driven smart services to impact future of work flows, IOT services, customer experience journeys, and block chain distributed ledgers.  Success requires the establishment of AI outcomes (see Figure 1).  Once the outcomes is established, organizations can craft AI driven smart services that orchestrate,  automate, and deliver mass personalzation at scale.

Figure 1.  Seven Spectrum of AI Outcomes

Artificial Intelligence Seven Spectrum Outcomes

Secrets To Designing AI Driven Smart Services Start With The Orchestration Of Trust

Crafting AI-driven smart services requires a shift in thinking to atomic driven smart services.   In fact, these new AI driven smart services rely on five key components:

  1. Applying digital footprints and data exhaust use AI to build anonymous and explicit profiles.
    Every individual, device, or network provides some information. That digital footprint or exhaust could come from facial analysis, a network IP address, or even one’s walking gait. Using AI and cognitive reckoning, systems can start to analyze patterns and correlate identity. That means that AI services will recognize and know individuals across difference contexts.
  2. Immersive experiences enable a natural interaction.
    Context, content, collaboration, and channels come together to all AI-driven services to deliver immersive and unique experiences to each individual.  The services will use context attributes such as geospatial location, time of day, weather, heart rate, and even sentiment – combined with what the service knows of our identity and preferences – to improve relevancy and deliver the appropriate content. Sense-and-respond mechanisms will enable collaboration among participants and machines through conversations and text dialogs. Channels include all interaction points such as mobile, social, kiosks, and in-person. The goal is natural user experiences based on identity.
  3.  Mass personalization at scale delivers digital services.
    Anticipatory analytics, catalysts, and choices interact to power mass personalization at scale.  Anticipatory analytics allow customers to “skate where the puck will be”.  Catalysts provide offers or triggers for response.  Choices allow customers to make their own decisions.  Each individual or machine will have their own experience in contexts depending on identity, historical preferences, and needs at the time. From choose-your-own-adventure journeys, context-driven offers, and multi-variable testing on available choices, the AI systems offer statistically driven choices to incite action.
  4.  Value exchange completes the orchestration of trust.
    Once an action is taken, value exchange cements the transaction. Monetary, non-monetary, and consensus are three common forms of value exchange. While monetary value exchange might be the most obvious, non-monetary value exchange (including recognition, access, and influence) often provide a compelling form of value. Meanwhile, a simple consensus or agreement can also deliver value exchange on the veracity of a land title or agreement on a patient treatment protocol.
  5. Cadence and feedback continues and AI powered learning cycle.
    Powered by machine learning and other AI tools, smart services consider the cadence of delivery: one time, ad-hoc, repetitive, subscription based, and threshold driven. Using machine learning techniques, the system studies how the smart services are delivered and applies this to future interactions.

Figure 2.  The Secret To Designing Atomic AI Driven Services

Atomic AI

The Bottom Line: Artificial Intelligence Augments Humanity

Fears of robots taking over the world have been overblown.  Successful AI driven smart services will augment human intelligence just as machines augmented physical capabilities.  By enabling reduction of errors, improving speed of decisions, identifying demand signals, predicting outcomes, and preventing disasters, AI driven smart services play a key role in defining business models for block chain technologies,  IOT, customer experience, and future of work.

Your POV.

Are you ready to unlock the powers of Artificial Intelligence?  What’s your entry point? Machine learning, natural language processing, topological data analyses? Would you like to hear what other organizations have embarked on?  Would you like us to present to your boardroom?  Learn how non-digital organizations can apply an AI road map to disrupt digital businesses in the best-selling Harvard Business Review Press book Disrupting Digital. 

Request an inquiry with me here: http://info.constellationr.com/analyst-inquiries 

Please let us know if you need help with your Digital Business transformation efforts. Here’s how we can assist:

  • Developing your digital business strategy
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GE an update on IoT progress from Minds and Machines

GE an update on IoT progress from Minds and Machines

GE is probably the global business most strongly associated with demonstrating not just a strategic commitment to IoT, but also for leading business driven implementations. The GE annual Minds and Machines event in San Francisco has become an Industrial Internet showcase for Business IoT. Packed with case studies demonstrating millions of dollars of business benefits, together with GE announcing its own next plans to derive business value from IoT adoption.

Minds and Machines has examples of real business strategic transformation case studies that are the game changes to industry sectors. Here GE, and other major Global Industrial Players, show how in Industrial Manufacturing IoT with Connectivity, Cloud Provisioning, and now AI delivers on major projects. Minds and Machines is not about ‘pilots’, or small Enterprise projects, it’s about how real Strategic Transformation has delivered millions of dollars of benefits.

As with Salesforce Dreamforce some weeks ago the manner of the event itself is significant. Technology wide support from speakers, sponsors and exhibitors demonstrates strong moves towards engagement and adoption of the approaches. Minds and Machines follows the trend towards events focusing on understanding the use of Technology in Business rather than product release hyping. As this is an event primarily about Industrial IoT the following sponsors from an IT background, (in addition to the expected Industrial players), says much about the merging of the technology market within IoT;

Highest Level;                     Accenture, Deloitte, Microsoft, HP, Intel

Second Level;                       Capgemini, E&Y, PWC

Third Level;                          Dell, Infosys

Only a year ago the different technology worlds didn’t seem to be aware of each others moves into IoT as detailed in the blog; IoT - where two or even three possibly four worlds collide or operational technology meets information technology. Now as deployments move to Enterprise scale the understanding of the need for broader integration into Enterprise IT systems has become clear. The list of technology sponsors is in fact a list of major SIs. However what used to be known as Systems Integration, or SI, would be better termed ‘Solutions Integration’ to match the widening of skills required across multiple disciplines.

So the answer to the question posed in the blog IoT – where are the Integrators, or more particularly who are the Integrators? seems to be arriving. The global SI players who have grasped the need are making themselves known at key IoT events that enable them to demonstrate their case studies. (As are an increasing number of small-specialized players who have chosen to specialize in IoT integration).

As ever the challenge remains as the number of skilled staff available at any of these companies, so there is a necessity for a high degree of focus in the activities of any of the SI players. As Solution Integration of IoT carried out by specialized units within the overall Systems Integration business it is difficult via the usual sales and account management channels access the level of information that will help find the right SI for your requirement.

Large scale specialized IoT exhibitions, such as Minds and Machines, have come into their own during this last year. When it’s difficult to pinpoint what you want and, frustrating to try to get access to the real skilled staff, the simplicity of an exhibition has become appealing. The IoT market is laid out for physical browsing with the benefit that you can walk onto stands of interest to question knowledgeable staff, usually in the presence of a full-scale demonstration. It’s pretty easy to see why exhibitions are back in favor with remarkably high attendances are being reported at the prime events!

Minds and Machines delivers on this promise, as a showcase for the Industrial Internet, leading the way in show casing the development of Industrial Automation and Operational Technology. The case studies and presentations, particularly by GE themselves, all reflected on their premise of the 1% Improvement in five selected Industry sectors through IoT led Business Transformation.

A Brief Overview on the progress of GE Predix and GE Software;

These five Industry sectors are core markets for GE where many years of involvement have built up expertise in all aspects of the Industry sector. Each has similar characteristics of complex, sophisticated products, operated at scale, with large costs, making the simplicity of the focus and target of 1% costs saving a clear business strategy that would be understood by Boardroom executives.

The result has been considerable Boardroom interest with the resulting Industrial Internet collaboration in the USA, and in Europe the similar but slightly different parallel establishment of Industrie 4.0 .

It is difficult to overview the many case studies presented, (here are some from GE website), but there can be little doubt that the goals of ‘The Power of 1% Percent’ are on their way to being realized. (For more information see MIT Sloan’s review on GE strategic bet and Industrial Internet Case Studies from members). The next stage after the highly target improvement of GE products performance in the 1% strategy is to address the operation of their products as an ecosystem. The Rail Industry was one of the first targets for this level of Industry Transformation of overall operations as described in a GE Report dated March 2016.

GE strategy to achieve Industry Transformation across five key sectors rests on GE Predix its own in-house development using the expertise gained in the design and production of Industrial machinery. GE defines Predix as an operating system, or Platform for machinery. Predix combines the standard IoT ingredients; the connectivity of the Internet, the sensing of IoT, with Cloud provision; with the specialized characteristics of required for Operational Technology and specialized Modeling of industrial products and systems. Achieving the 1% savings goal across five major Industry sectors is big target so signing Predix alliances to train significant numbers of staff in the deployment of GE Predix in the big SIs that were in attendance is a critical success factor.

Predix has not surprisingly attracted a lot of attention, not always completely favorable with Fortune Magazine sounding a cautionary note in July 2016. Describing GE Software as a ‘baby startup’ Fortune pointed out as that in common with other startups the product wasn’t always as complete or robust as the marketing made it sound. In particular the article drew attention to the relatively poor ‘final mile’ connectivity, though these are the aspects that a Solution Integration partner should deliver.

In addition to its own considerable efforts to add capabilities GE has also been strengthening Predix by acquisitions; Asset Management expert Meridium in September, Machine Learning startup specialist Wise.io in October and now Field Service Manager ServiceMax in November. These moves taken with the final and all important fact of significant success in real deployments all suggest Predix has enough maturity to deliver commercial value.

In any Industrial Internet, or Industrie 4.0, event that relates to manufacturing, servicing, and operation of complex machinery, the topic of Digital Twins will be on the agenda. The extension of computer based design processes through 3D preproduction models to test expected performance, economy and maintenance operation into acting as an ongoing reference model, or Digital Twin, is becoming a reality. GE originally played a leading role in the definition and use of Digital Twins, though today there it is a widely accepted and supported concept.

Linking a Digital Twin model by means of IoT sensing to the real physical machine provides both a direct comparison between the predicted behavior, and actual experience. The feedback to improve design, predictive maintenance and continuous operational optimization is a huge game change to the capabilities of Product Lifecycle Management, PLM, and will be the subject of a separate blog.

Minds and Machines is a unique view on how manufacturing and Service operation is and will be changed in the Digital Services economy. To fully understand the GE point of view of IoT and associated technologies impact on GE and its business then there is a copy of Bill Ruh SVP & Chief Digital Officer GE, and CEO GE Digital presentation here.

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