PredictionsTech2019

Google will gain share in cloud and become a meaningful player - it will position for the 2020's and become a much more formidable force. It's ecosystem will grow faster than other cloud whales (from a smaller base of course) but Google will be one to watch in 2019.

Clouds and hybrid clouds will become increasing specialized for different workloads and industries. The number of cloud services, SaaS, Industry-led PaaS will grow very rapidly.

@dvellante Agreed.

@dvellante what is the core attribute of GCP that you think will be driving force behind that gain of cloud share? The biggest advantage I see them having is the google global backbone (GGBB or G2B2? :-) )

The #AWS flywheel of customers and data will continue - #serverless (not just Lambda, but all of the new services built on serverless) and AWS Free Tier continue this trend. Microsoft has great apps, Google has data, Alibaba is growing, but 2019-2020 still all about #AWS

AWS will become the predominant vendor of AI/ML data science DevOps toolchain services in the public cloud. In 2019, AWS SageMaker will become the principal data science DevOps workflow platform for 50% of its ISV partner ecosystem.

2020 - Top 4 Cloud Providers will have 35%-40% of the market in #IaaS and #PaaS. As I believe best Iaas players will make the best PaaS players! #SaaS will remain scattered!

@dfloyer and most of those industry-led PaaS are build on the big 3 cloud providers. Proof that knowing your customer is key...

Microsoft Azure blows GCP out of the water as the dominant 2nd choice for enterprises doing multi-cloud

@sarbjeetjohal Agreed, particularly as IaaS is a commodity, value-add is at the application layer

Two "centers" of cloud are established: US (AWS, SFDC, Google, Azure, etc.) and China (Alibaba, TenCent). GDPR will catalyze a scale opportunity for a native EU cloud company.

#hybridcloud becomes #multicloud and RPA becomes the killer app for #IoT

who in EU?

The lines between public, private, and hybrid cloud approaches being blurred. As the skill and tech barriers to entry continue to drop whether on-prem or remote, cloud becomes a utility which is less seen/talked about than the business outcomes it provides.

In 2019, Oracle will probably make several strategic merger/acquisitions to breathe life into its public cloud strategy. Possible hookup with Rackspace.

Google GCP finds a huge growth tailwind and will take some #Azure marketshare

AI/ML will be heavily platformized by 2020 (before it gets commoditized)!

@latoga Completely agree with "know your customer is key" for this reason I predict Microsoft will continue to gain share over the next year. Their re-aligned sales teams are doing great work

@latoga AI services and open source.

@sarbjeetjohal Interesting point about PaaS - IaaS+ or SaaS minus are two paths to PaaS

Focus will move from AI Training and development to Inference AI at the Edge, and the focus will be on real-time decision making that improves workflow efficiency, and away from making executives smarter.

totally agree with AI/ML being the next computer science wave that creates #datafirst startups

but don't the "Big 4", or actually the Big 3, SFDC !count IMO already have GDPR largely solved with in EU zones for local data retention? The rest of GDPR is largely access (application) issue.

@dvellante Agree that GCP is the dark horse but becoming increasingly interesting.

@jameskobielus or risk becoming disintermediated/irrelevant as messaging and middleware services become dynamically attached capabilities

Nvidia gets more market and loses some of the crypto marketshare to new chip designs for mining for #blockchain

In 2019, Google will make a huge splash by productizing its growing TensorFlow open-source stack as a beat-all data science toolchain for DevOps, cloud, edge, auto-ML, etc. AWS will respond by doubling down its investment in SageMaker. Developer hearts/minds/$ at stake.

@mikethebbop AWS also has started to refocus on deeply knowing their customers, starting with their largest. The speed of that flowing downward is key.

Yes. AWS is definitely "owning" a lot of the federal market sector

@jameskobielus Oracle hasn't show much interest in true new market share capture, only keeping their existing $$ stream from leaving; if they start to focus on growth via acquisition, they need to change a lot internally to make it really work.

Driven by latency requirements of real-time computing..

So what are the implications? lower cost? new workloads?

the "downsizing of software" has been going on for a while, but is the new convention. Big question: Will a downsizing of services follow? We think "yes" -- and with big implications.

Lower cost, better abstraction, better beasurabilty thus better manageability

Remember it's easy ti ingest tech into an enterprise, it's hard to digest it. Micro consumption makes it digestible for all people, processes and products!

software will just blend in, creating code will be a click of a button, look at new features of @IBMwatson @IBManalytics and set parameters and create code , boom! Done, very slick and then take a step further @REDhat and @IBM agreement this year... very cool stuff

Miniaturization of software is happening through microservices, microcontainers, and decoupling of AI/ML models for deployment at the edges in more resource-constrained endpoints.

(edited)

agreed

@jameskobielus decomposition without abstraction is anarchy

I might draw a link here to making it easier to run various stacks on-prem with lower entry points. Feels like another wave in the continuing centralize/decentralize trends we've been riding for 50 years.

Abstraction without crisp componentization and coherent orchestration is toothless.

@jameskobielus sure, it is a foundational presumption, but we do this in Telecom over physical and virtual functions in hybrid/multi-cloud environments

@jameskobielus Also, "orchestration" is a way over-loaded term, when we are connecting distributed processes not under our control, across silos, layers and boundaries - that's choreography

I don't count bots as RPA...I see it as more inline with BPM

I'm intrigued by the low code approach being taken by co's like @UiPath...similar to the way Mongo cracked the nosql market (simplicity and easy entry) I see a much more impactful (to businesses) entry strategy here

RPAs will need to be a lot smarter and understanding conversation threads! There is a severe penalty of credibility when bots are "found out"!

One customer's view of the ROI of RPA https://video.cube36...

True that no code/Low-Code systems will elp RPA market but integration between these solutions stays as a bing hurdle! What we need is #DigitalGlue like capabilities, we already have all the lego pieces.

#RPA is the gateway drug to #AI https://video.cube36...

I expect to see more vendors entering under #DigitalWorkplaces umbrella/domain to ease the pain of integration! Integration has to be low code / low code as well

@dvellante #lowcode gets more hype than it deserves. If it really works, then business process architects are going to gain prominence again.

Capturing app context improves development focus, speed, control over SIs, etc. RPA fosters collaboration and helps put users back in charge of apps.

New Turing test - when is a response a credible response?

@sarbjeetjohal the reason I see the low code approach as important is so that domain experts can play with the tech and start automating all the stuff they don't like to do - we're seeing this a lot in back office financial services, insurance, travel and many other industries

@dvellante Low barrier to entry = ability for the many folks further down the org chart to experiment. We've seen this in many tech areas and seems to be a common thread for widely adopted tech outside of hardware which inherently have some higher cost of entry.

@LawrenceHecht or do business process architectus become RPA Architects?

RPA's success hinges on the ability to simplify the data integration.

@latoga then it is doomed to fail

Software robots will be ML-driven auto-programming artifacts that tap into back-end auto-ML and DevOps in the cloud for CI/CD. The front-end user/developer experience will be declarative: visually specify the environment and intentions, and voila, RPA does the rest.

Like every tool, it will get added to the kit. Hype is that it will substitute for other tooling. Rather, it will improve developer -- and business analyst -- productivity.

@latoga not sure, but I am sure that "architects" is a job role that is growing

@latoga RPA --> data integration. Very true. That's why the context is so important.