2019

Where did all the cloud computing thought leaders go?

David Linthicum

I’m not citing studies that demonstrate a diminished number of thought leaders in the cloud computing space—this is only my impression.

Study 285

Embed AI in your digital supply chain to win, serve, and retain customers

Forrester IT

It’s now just over 12 months since we first published research on Digital Supply Chain. Some Forrester clients have made progress with Integrated Business Planning and with Control Towers. And they are on the lookout for Blockchain opportunities.

The CIO’s Guide to Blockchain

CEB IT

More than $4 trillion in goods are shipped globally each year. The 80% of those goods carried via ocean shipping creates a lot of paperwork. Required trade documentation to process and administer all the goods is approximately one-fifth of the actual physical transportation costs.

Data Mining – A Cautionary Tale

Eric D. Brown

For those of you that might be new to data, keep this small (but extremely important) thing in mind – beware data mining. What is data mining? Data mining is the process of discovering information and patterns in data.

Data 209

Architect Your Organization for Effectiveness, Productivity, and Joy

Speaker: Ron Lichty, Consultant: Interim VP Engineering, Ron Lichty Consulting, Inc.

As a senior software leader, you likely spend more time working on the architecture of your systems than the architecture of your organization. Yet, structuring our teams and organizations is a critical factor for success. In fact, the impact of software architecture parallels the impact of organizational structure. We are excited to welcome Ron Lichty, co-author of a seminal book on managing software teams and a well-known speaker, he’ll speak to organizing for effectiveness, productivity and joy.

Guide to Artificial Intelligence

CTOvision

This is the CTOvision guide on the megatrend of Artificial Intelligence. This report gives a high level overview of the most important factors of the trend, gives updated insights into the activities of the major AI companies, and succinct descriptions of AI tech.

More Trending

How to stop people from causing bad cloud architectures

David Linthicum

I’ve been in some knock-down, drag-out battles over both the configuration and the use of technology. On one side, you have somebody with a very different opinion as to what technology should be used and how. On the other side, you know that you are right.

More reasons to put secure data in the public cloud

David Linthicum

The worldwide market for cloud intrusion protection software is projected to grow by $1.8 billion and have a compounded growth of 24.8 percent.

2 things you probably forgot in cloudops planning

David Linthicum

The focus of cloud operations, or cloudops, should be to create processes, approaches, and tool stacks that will allow you to run cloud-based systems long term, with no outages and a high degree of business satisfaction. Your ability to serve the business should be your number one objective.

IBM 284

For cloud support, enterprises should consider DIY

David Linthicum

I took my relatively new truck to a dealership this week to diagnose, and hopefully fix, a rubbing noise that occurs at random times. After a day at the shop, the truck came back with “no problem found.” And, of course, I heard the noise again on the way home.

An Adult Conversation About Estimates

Speaker: Beekey Cheung, Software Consultant, Professor Beekums, LLC

Estimates are a contentious topic in software development. Most of our development teams hate providing estimates and many managers are starting to view them as unnecessary. As senior software leaders, how can we determine whether estimates are helpful or harmful to our teams? We are excited to be joined by Beekey Cheung, a software consultant and blogger known as Professor Beekums, who has helped many leaders and teams go from fearing estimates to using them appropriately. He'll walk us through the value of estimates, how to overcome the hesitancy many have in giving them, and how to provide better estimates.

Hybrid cloud is not what it used to be

David Linthicum

Back in the good old days when the cloud was cool, but nobody knew what it was, hybrid cloud was a pairing of public and private cloud. Indeed, hybrid cloud was popular because it allowed us to say we were moving to cloud computing while placing the majority of our cloud bets on private cloud.

Google 285

Your cloud-based application could be a profitable product

David Linthicum

In the world of application development, there is enterprise grade and product grade. If you’ve never heard those terms before, you’re not alone.

Infrastructure Automation Platforms: Coopetition At Its Fiercest

Forrester IT

Why Infrastructure Automation? I used to kid around with my research director, Glenn O’Donnell, that my previous Forrester Wave™ evaluation on configuration management was the “Wave no vendor wanted to be in.” ” The term, while valid, is old.

Top Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019

CEB IT

Between 2018 and 2019, organizations that have deployed artificial intelligence (AI) grew from 4% to 14%, according to Gartner’s 2019 CIO Agenda survey.

The Six Principles of Persuasion

Speaker: Michael Carducci, CTO, Mago:Tech

As senior tech leaders, we often fall prey to thinking that a “good idea” and logical case is sufficient to get the desired response and result. We might be trying to get our CEO on-board with investment in a new technology or a rearchitecture effort, or we might want culture or process changes by our team. Our “good idea” is simply the beginning. An idea must be communicated; a case must be made; and ultimately other people must be persuaded to get onboard. Michael Carducci brings a fascinating background to this webinar. He’s a technologist and regularly works to help senior leaders improve their results. He’s also a professional mentalist and has been a student of psychology, human behavior and the principles of influence for nearly two decades.

Do you need machine learning? Maybe. Maybe Not.

Eric D. Brown

I’ve recently written about the risks of machine learning (ML) , but with this post I wanted to take a step back and talk about ML and general. I want to talk about the ‘why’ of machine learning and whether you and/or your company should be investigating machine learning.

Could This Be The Real Reason to be Afraid of Artificial Intelligence?

CTOvision

A robotics researcher afraid of robots, Peter Haas, invites us into his world of understand where the threats of robots and artificial intelligence really are. In his view, we really need to worry about the bias and ethical issues around AI.

The moral side of cloud-based data science

David Linthicum

Consider sports betting. Today, many bettors use known and published statistics, mathematical models, and other relatively primitive tools. The idea is to gain a small advantage. Now let’s look at the world of technology.

Sports 285

How to deal with cloud complexity

David Linthicum

Cloud complexity is the number one reason enterprises experience failures with cloud. Cloud-based platforms become complex due to an excess of heterogeneity and fewer common services. The end result is negative cloud computing value.

How To 285

Schema Evolution Patterns

Speaker: Alex Rasmussen, CEO, Bits on Disk

If you want to make your development team squirm, ask them about database schema changes or API versioning. Most development teams struggle with changing database schemas and updating API versions without breaking existing code. Alex Rasmussen is an expert in helping teams through these struggles. His talk will examine database schema changes and API versioning as two instances of schema evolution: how your systems respond when the structure of your structured data changes.

3 tips for container devops in the cloud

David Linthicum

Devops in the cloud is all the rage.

Devops 285

What your cloud provider doesn’t want you to know

David Linthicum

Cloud architecture is practiced differently, depending on who you work for or with. Given that the cloud architect gig encompasses planning, design, technology selection, technology integration, and deployment planning, the overall cloud architecture itself is often somehow overlooked.

Fix your cloud security

David Linthicum

I found some interesting statistics in this RedLock article that illustrate the severity of the cloud security problem: Only 7 percent of businesses have good visibility of all critical data, and 58 percent say they only have slight visibility. ForcePoint ).

Machine learning operations don’t belong with cloudops

David Linthicum

It’s Monday morning, and after a long weekend of system trouble the cloud operations team is discussing what happened. It seems that several systems that were associated with a very advanced, new inventory management system enabled with machine learning had issues over the weekend.

Team Leadership in the Age of Agile

Speaker: Roy Osherove, Technology and Leadership Consultant

Why is implementing new frameworks, from SCRUM to self-organized teams, so much harder than understanding them? Roy Osherove has the solution. Tune in and learn to recognize what state your team is in, to support them accordingly, and to help them adopt the best practices given where they are today.

Cloud architects need to deal with cloudops

David Linthicum

I’m a cloud computing architect. I get to draw impressive diagrams, meet with cloud providers, pick security approaches and technology, deal with governance, and then turn the whole thing over to other people to actually do the work. Nice work if you can get it.

.Net 284

The Future Of Work Is An Adaptive Workforce

Forrester IT

To Build An Adaptive Enterprise, Build An Adaptive Workforce The future of work isn’t something that happens to you — it’s something you create for your company and your own career. Unfortunately, C-level technology and business leaders are often uncertain on how to do it.

Report 227

5 Trends Appear on the Gartner Hype Cycle for Emerging Technologies, 2019

CEB IT

Today, insurance fraud is detected by a combination of claim analysis, computer programs and even private investigators. The FBI estimates the total cost of non-healthcare-related insurance fraud to be around $40 billion per year.

Trends 208

This one skill will make you a data science rockstar

Eric D. Brown

Want to be a data science rockstar? of course you do! Sorry for the clickbait headline, but I wanted to reach as many people as I can with this important piece of information. Want to know what the ‘one skill’ is?

Data 200

Best Practices for Micro-Services Management, Traceability and Visualization

Speaker: Robert Starmer, Cloud Advisor, Founding Partner at Kumulus Technologies

Moving to micro-services, or even working with distributed applications in a traditional environment, brings with it a host of interactions that are often difficult to understand. This session will provide an overview of service mesh, a review of the Istio service mesh itself, and dive into best practices and integration models for integrating the traceability model into a distributed application.