Amalgam has just posted a new report: The Roadmap to Multi-Million Dollar Machine Learning Value with DataRobot. I’m especially excited about this report for a couple of reasons. First, this report documents multiple clear value propositions for machine learning that led to the documented annual value of over a million dollars. This is an important…
Key Stakeholders: Chief Information Officers, Chief Financial Officers, Chief Operating Officers, Chief Digital Officers, Chief Technology Officer, Accounting Directors and Managers, Sales Operations Directors and Managers, Controllers, Finance Directors and Managers, Corporate Planning Directors and Managers Why It Matters: Workday snatched Adaptive Insights away from the public markets only days before IPO, acquiring a proven enterprise planning…
Key Stakeholders: Chief Information Officers, Chief Digital Officers, Chief Information Security Officers, Security Directors and Managers , Security Operations Directors, IT Architects, IT Strategists, Identity and Access Directors and Managers, Software Engineers, Cloud Strategists
Why This Matters: Cloud and digital strategists who are not attending Oktane risk missing out on key SaaS and IT management strategies emerging in an end-user centric model of IT.
Key Stakeholders: IT managers, data scientists, data analysts, database administrators, application developers, enterprise statisticians, machine learning directors and managers, existing enterprise Cloudera customers Why It Matters: As Cloudera continues its pivot towards becoming a full-service machine learning and analytics platform, its latest updates enhance its ability to retain existing customers of its commercial data lake…
Effective training is critical in all business sectors. In 2017, over $360 billion was spent on training worldwide, with over $160 billion spent in the U.S. alone. Given the ever-changing nature of the corporate landscape, as new technologies are introduced (e.g., AI) or upgraded (e.g., constant software upgrades), and as new challenges arise (e.g., sexual harassment in the workplace) corporate training must evolve to meet the growing need.
Continue reading “Dual Learning Systems in the Brain: Implications for Corporate Training”
API management is a necessary but boring practice. As developers make use of a mix of public cloud, purchased or open source libraries, and homegrown services, the number of APIs used by developers quickly renders pouring through documentation impractical.
Microservices, usually accessed via RESTFul APIs, cause API calls to rapidly proliferate. Even modest-sized microservices-based systems experience API overload quickly. Agile development can exacerbate the problem of understanding and using APIs. The rapid pace of Agile, especially Scrum, leaves little time for proper documentation of APIs. Documentation often takes a back seat to continuous deployment.
Continue reading “As API Management Problem Grows, Informatica Jumps into the Market”
On CIO.com, analyst Hyoun Park discusses recent cloud pricing changes by Oracle, Amazon, and Google in context of understanding who is actually providing the cheapest cloud. In this blog, Park posits that Oracle’s new Universal Credits for IaaS and PaaS usage are fundamentally different from the traditional pricing models for cloud and shows that the enterprise cloud is coming of age.
One of Park’s assertions is that the most granular pricing may not be the cheapest because the complexity of detailed pricing prevents companies from optimizing their costs. Will this trend affect your cloud costs?
Also, join Hyoun’s webinar to learn more about managing cloud costs on BrightTALK: Cloud Service Management: Managing Cost, Resources, and Security
In speaking with CBS News analyst Larry Magid, Maddox points out the experiential and emotional gap in current soft skills and sexual harassment training modules and why unconscious bias is not being tested by traditional training methods.
In case you missed in, at re:invent Amazon launched a mind-numbing number of new services including managed Kubernetes service, more AWS Lambda extensions, Aurora Serverless, AWS Serverless Application Repository, and Amazon SageMaker.
Based on this, Amalgam Analyst Tom Petrocelli recently contributed a thought-provoking article on InformationWeek about how Amazon Web Services is working on killing off IT Ops and bringing in a new age of “NoOps.” For IT Ops, Winter is definitely coming.
Do you agree or disagree? Take a look at Tom’s POV and let us know what you think.
As the year comes to a close, I have had the opportunity to reflect on what has transpired in 2017 and look ahead to 2018. Some of my recent thoughts on 2017 have been published in:
- InformationWeek: AWS Ignites Debate About the Death of IT Ops
- CMSWire: Will Microsoft Graph Deliver on the Promises of the Social Graph?
- DevOps.com: DevOps Gets More Exciting in 2018
These articles provide a peek ahead at emerging 2018 trends.
In the two areas I cover, collaboration and DevOps/Developer Trends, I plan to continue to look at:
• The continued transformation of the collaboration market. [Click to Tweet] I am expecting a “mass extinction event” of products in this space. That doesn’t mean the collaboration market will evaporate. Instead, I am looking for niche products that address specific collaboration segments to thrive while a handful of large collaboration players will consume the general market.
• The emergence of NoOps, for No Operations, in the mid-market. [Click to Tweet] The Amazon push to serverless products is a bellwether of the upcoming move toward cloud vendor operations supplanting company IT sysops.
• 2018 will be the year of the container.[Click to Tweet] Containers have been growing in popularity over the past several years but 2018 will be the year when they become truly mass market. The growth in the ecosystem, especially the widespread availability of cloud Kubernetes services, will make containers more palatable to a wider market.
• Integrated DevOps pipelines will make DevOps more efficient… if [Click to Tweet] we can get the politics out of IT.
• Machine learning will continue to be integrated into developer tools [Click to Tweet] which, in turn, will make more complex coding and deployment jobs easier.
As you know, I joined Amalgam Insights in September. Amalgam Insights, or AI, is a full-service market analyst firm. I’d welcome the opportunity to learn more about what 2018 holds for you. Perhaps we can schedule a quick call in the next couple of weeks. Let me know what works best for you. As always, if I can provide any additional information about AI, I’d be happy to do so!
Thanks, and have a happy holiday season.
For more predictions on IT management at scale, check out Todd Maddox’s 5 Predictions That Will Transform Corporate Training.