2019

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. We all wish we had a formula to plug in a few data points and have a cloud complexity ranking pop out, but it’s not that easy.

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Is the Cloud Secure?

CEB IT

Cloud security breaches consistently make news headlines. Yet, the stories of these breaches are often framed with vague explanations — a “misconfigured database” or mismanagement by an unnamed “third party.”. The ambiguity that surrounds cloud computing can make securing the enterprise seem daunting. Concerns about security have led some CIOs to limit their organizational use of public cloud services.

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Shopping For AI Talent? Beware Of Unicorns

Forrester's Customer Insights

At the dawn of big data, data scientists were the unicorn of the hour. Talk to any one of these rarities, and they would say there were only about 100 of them in the world. When executives woke up to the potential of big data, it was also at the same time we were dealing […]. artificial intelligence (AI) talent management ai engineer chief data officer chief digital officer data scientist unicorns

What Can CIOs Do When The Cloud Isn’t Fast Enough?

The Accidental Successful CIO

Computing at the edge changes everything Image Credit: zorro013. The world in which we live is currently changing. Over the past few years, as the importance of information technology has grown, the internet has become a bigger and more important part of both our personal and professional lives. Every IT department makes extensive use of the internet these days to run apps, handle storage, and communicate.

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Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Predictability is impossible when the foundation architects plan against is constantly changing in unexpected ways. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve. This webinar will discuss what’s at stake if companies continue to use long term architecture plans.

3 Barriers to AI Adoption

CEB IT

More organizations are adopting artificial intelligence (AI). Fourteen percent of global CIOs have already deployed AI and 48% will deploy it in 2019 or by 2020, according to Gartner’s 2019 CIO Agenda survey. While adoption is increasing, some organizations are still questioning the business impact and benefits. Today, we witness three barriers to the adoption of AI,” says Brian Manusama , Senior Director Analyst, Gartner.

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AI cloudops is coming, whether you like it or not

David Linthicum

As someone who’s worked with AI for the last 30 years (yes, it was a thing 30 years ago), I’ve often thought of its capabilities were overrated and used for the wrong things in many cases. Now that it’s cheap thanks to cloud computing, and much more effective thanks to the pace of innovation, AI as a solution is coming up again, including the use in cloud operations.

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More Trending

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. And he worries even more that we humans don’t understand how these algorithms work. […]. Artificial Intelligence CTO News

How CIOs Can Solve Really Big Problems

The Accidental Successful CIO

Big problems require a special type of problem solving Image Credit: Kevin Dooley. As CIOs we are faced with a complete set of problems that we need to solve. These can be small, simple problems that we can solve just by thinking about them for a moment and then telling someone what to do in order to solve them or they can be the really big problems that we have no clue how to go about solving. It’s these big problems that can cause a CIO real headaches.

CIOs: Break Through Culture Barriers to Enable Digital Transformation

CEB IT

Although 64% of CIOs perceive culture as a barrier to achieve their digital ambitions, 25% perceive culture as an enabler, according to Gartner research. Change is the new normal. The right culture is one of the most important requirements to achieve digital transformation. Gartner predicts that by 2021, CIOs will be as responsible for culture change as chief HR officers. Attributes that may be culture barriers for some are, in fact, enablers for others.

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. It also points to key CTOvision reporting to help readers dive deeper […]. Artificial Intelligence CTO Featured News

How to Measure DevSecOps Progress and Ensure Success

Speaker: Shannon Lietz, Director of DevSecOps Team, Intuit

You've finally done it: You've won over C-Suite and your DevSecOps team is up and running. You feel ready to take on rising security threats while continuously delivering quality software updates. But how do you monitor your new program? Are you truly able to gauge the state of your projects? To ensure the success of this new breed of a team, you need to know the metrics to look at and how to advocate these metrics to C-Suite and stakeholders. Join Shannon Lietz, Leader and Director of DevsecOps at Intuit, and learn to lead your DevSecOps team to the top.

3 reasons to put ERP in the cloud

David Linthicum

ERP systems are the last strongholds of processes and data that enterprise IT refuses to move to the cloud. ERP holds most of the relevant business data, and without that data the business would not exist. Thus, many companies are delaying migrating ERP to the cloud or refusing altogether. However, the reasons for moving ERP to the cloud are becoming more apparent, and it’s time that I share a few with you.

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Cloud architecture that avoids risk and complexity

David Linthicum

One of the truisms about cloud architecture is that there are typically 100x100 architecture solution patterns. They all work, but only one is the right solution. If your head is swimming, let me explain. Indeed, many technology stacks and approaches will solve the same problems using cloud-based technologies.

3 things about cloud and IoT you need to consider

David Linthicum

The internet of things (IoT) and cloud-based providers are bound at the hip. That said, most people don’t understand how, why, or what to expect. I’ve been asked some good questions that drove me to do some research and testing. Perhaps the answers are of interest to you as well. Do you store the data in the cloud or the IoT device? This depends on a lot of things, but I have two rules of thumb: [ InfoWorld explains: What is multicloud? The next step in cloud computing. |

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The cloud is the greener way to go

David Linthicum

I live in Northern Virginia, near Ashburn. If you’ve ever driven down the Greenway, the toll road through Ashburn, you’ll get an idea of the number of data centers in town—hundreds, with more being built each year. Is this the fault of cloud computing? It really depends on who is using those data centers. They are never labeled for security reasons, but I think for PR reasons as well. Learn all about the cloud at InfoWorld. Start with the basics: What is cloud computing?

The Pro’s Guide To Getting The Best ROI From Your New LMS

You need a Learning Management System when your courses and training programs need to be accessible online. Quickly build the perfect business case and easily determine which LMS will provide the best return on investment you need with this how-to eBook!

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. We got a cloud we could still physically touch, with the option of moving to public cloud in the future.

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How to address IoT’s two biggest challenges: data and security

David Linthicum

You don’t even need to Google “data growth and IoT” to see the trend for the internet of things; all research shows a steep curve up and to the right. The reason is pretty simple: We’re collectively trying to capture fine-grained, ongoing, machine-generated data from a fast-growing universe of devices because the more data, the better the analyses are possible from that data. At the same time, it’s clear that security for IoT mostly takes a backseat to everything else.

Why blockchain (might be) coming to an IoT implementation near you

CTOvision

Read why Jon Gold says that there is a small but growing overlap between the internet of things and blockchain on Network World : Companies have found that IoT partners well with a host of other popular enterprise computing technologies, and blockchain – the system of distributed trust underpinning cryptocurrencies – is no exception. Yet […]. CTO News

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.

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Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

Quality Assurance (QA) In The Context of AI

CTOvision

Everyone who has ever worked on a software project knows that you don’t just simply put code and content out to your customers, employees, or stakeholders without first testing it to make sure it’s not broken or dead on delivery. Quality Assurance (QA) is such a core part of any technology or business delivery that […].

5 Digital Technology Trends for 2020

CEB IT

Dominos, a leading pizza restaurant chain, wanted to offer its customers the ability to place an order via as many devices and platforms as possible with the use of digital technology. The solution was to create a multiexperience strategy. Customers could order their favorite meal using any device from a phone to a smart speaker, and the order would be trackable via a pizza tracker and delivered via an autonomous vehicle. How consumers interact with brands has evolved over past decades.

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7 Technologies You Need to Know for Artificial Intelligence

CTOvision

Artificial Intelligence. Everybody wants it. Everybody knows they need to invest in pilots and initial projects. Yet getting those projects into production is hard, and most companies still aren’t in with both feet. If you aren’t hands-on with the projects yourself, you may have heard a lot of different terminologies. You may be wondering what it […]. Artificial Intelligence News

The true value of cloud-based AI isn’t what you think

David Linthicum

Artificial intelligence is one of those concepts that was hot in the 80s, kind of went away, and now is red hot. Most point to AI’s new features and functions to explain its growing popularity, but it’s actually because public cloud computing has made it affordable. For a few hundred bucks a month you can have some pretty heavy-duty AI systems in place that would have cost millions 10 to 15 years ago.

How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.

What you should know about serverless computing before you start

David Linthicum

Are you considering serverless computing ? So is everyone else in IT. A recent survey released by New Stack reveals that half of IT executives in the survey say they are already running with a serverless architecture, and 28 percent intend to do so within the next 18 months. The survey of 608 companies found that benefits among serverless users include scalability and a greater speed of development.

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11 Artificial Intelligence Trends Every Business Must Know in 2019

CTOvision

Read Sohaib Khalid list 11 artificial intelligence trends every business should know about on Read Write : Artificial Intelligence (AI) has been a game changer for global businesses, opening doors to innumerable possibilities. With the integration of AI in businesses, the global economy is excepted to grow exponentially in the coming years. Although the introduction […]. Artificial Intelligence News

Science Fiction Gadgets You Can Get Today

CTOvision

Technology is advancing pretty fast, at times influenced by the exciting world of Science Fiction. This video captures 10 of the tech developments first seen in SciFi that are available now. A key point of this, if you want to know what is in our future, watch more SciFi! CTO Entertainment News SciFi

Video 283

How Far? The Line Between Compassionate Care and Ruthless Efficiency

CTOvision

I recently read with horror and empathy several articles about a man who was told by a video linked “robot” doctor that he was going to die. We lived through a similar experience just one week ago. My son-in-law, dying from stage IV cancer, was subjected to a similar robotic doctor in Inova Loudoun […]. CTO News

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity. However, this increased velocity often comes at the cost of overall application performance or reliability. Worse, teams often don’t understand what’s affecting performance or reliability – or even who to ask to learn more. Distributed tracing was developed at organizations like Google and Twitter to address these problems and has also come a long way in the decade since then. By the end of this presentation, you’ll understand why distributed tracing is necessary and how it can bring performance and reliability back under control.

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. The lack of cloud architectural discipline allows for inefficient architectures that cost you money, but make money for the public cloud providers. Here are a few secrets to keep in mind.

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 ). Vulnerabilities: 24 percent of organizations have hosts missing high-severity patches in the public cloud. RedLock ). More than three-fourths of security breaches (80%) involve privileged credentials. Forrester ).

Improve cloud performance with these 3 tips

David Linthicum

Those who face cloud computing performance issues are quick to simply increase the number of resources that an underperforming workload has available. This means adding more storage to deal with storage I/O performance, adding more cores/CPUs to deal with processor-bound workloads, or increasing available memory so that virtual storage I/O is avoided altogether. The cloud providers would give the same advice.

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Artificial Intelligence Needs Data Diversity

CTOvision

Read why Naga Rayapati says that artificial intelligence needs data diversity on Forbes : Artificial intelligence (AI) algorithms are generally hungry for data, a trend which is accelerating. A new breed of AI approaches, called lifelong learning machines, are being designed to pull data continually and indefinitely. But this is already happening with other AI […].

Nine Developer Enablement Practices to Achieve DevOps at Enterprise Scale

In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.