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.

How To 291

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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Monitoring AWS Container Environments at Scale

In this eBook, learn how to monitor AWS container environments at scale with Datadog and which key metrics to monitor when leveraging two container orchestration systems (ECS and EKS).

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.

Cloud 278

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.

The Legacy of Go

SPF13

This presentation was developed for GoLab in Firenze Italy and delivered as the closing keynote of the conference. The presentation talks about legacy, looking both backwards and forwards. It talks about the legacy of langauage Go inherited and how it is paying respect to that legacy. It concludes talking about the legacy Go hopes to leave behind

A Training Company’s Guide to Selecting an eLearning Platform

Training companies have an opportunity to embrace the change and create meaningful change in their organizations by moving online. Discover the advantages of a digital-first approach, using an eLearning platform.

Travel Back To 1985 For A Guest Lecture By Commodore Grace Hopper on The Future of Computing

CTOvision

Thanks to the power of computing you can watch Commodore Grace Hopper delivering her landmark lecture at MIT Laboratory on 25 April 1985. The entire presentation is excellent and worth listening to.

Travel 346

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

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.

Cloud 319

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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Assess and Advance Your Organization’s DevSecOps Practices

In this white paper, a DevSecOps maturity model is laid out for technical leaders to use to enable their organizations to stay competitive in the digital economy.

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.

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 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.

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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Does Your Company Need Help Solving These 4 Common eLearning Challenges?

If you want to know how to get ahead of the game and avoid the common mishaps in selling your eLearning courses, you’ve come to the right place! Lambda Solutions has identified the most common and costly challenges faced by eLearning providers today.

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.

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. AI is reaching organizations in many different ways compared with a few years ago, when there was no alternative to building your own solutions with machine learning (ML). AutoML and intelligent applications have the greatest momentum, while other approaches are also popular — namely, AI platform as a service or AI cloud services.

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 296

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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Address the Challenges of Siloed Monitoring Tools

Companies frequently experience monitoring tool sprawl. Find out why monitoring tool sprawl occurs, why it’s a problem for businesses, and the positive business impacts of monitoring tool consolidation.

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 […].

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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Deliver Effective Online Education and Events Your Members Will Love

This guide identifies the biggest challenges for associations moving their training online and provides practical solutions so that you can hit the ground running. Download now to keep your members engaged and growing even in times of COVID-19.

Data centers can learn sustainability from the cloud

David Linthicum

Everyone wants a green data center, also known as a sustainable data center. There are both policy and technology pushes in this emerging space, such as countries that are encouraging voluntary reduction of a data center’s carbon footprint. For instance, Finland will be announcing a lower energy tax for data centers that show a certain degree of greenness. The big advantage of having data centers in colder climates is that not as much power is needed for cooling.

Chatbots Will Appeal to Modern Workers

CEB IT

Chatbots continue to be a hot topic among media, end users and vendor communities. This is no surprise, as chatbot technology — which uses artificial intelligence (AI) to mimic human conversations — is beginning to mature and offer more sophisticated solutions. This is primarily because of improved, AI-enabled language capabilities. By 2022, 70% of white-collar workers will interact with conversational platforms on a daily basis.

3 tips for container devops in the cloud

David Linthicum

Devops in the cloud is all the rage. Take the speed and always-improving processes and toolchains of devops, add hugely scalable and self-configuring public cloud endpoints, and the end result is pretty much zero latency between the need to build or change applications and deploying them into production. It’s a formula for huge business advantages.

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2 big mistakes to avoid in edge computing

David Linthicum

More things are being pushed to the edge. Think of the edge as the space between the cloud and whatever device or system is tossing off data. The idea is to do most of the processing at the edge, close to where the data is produced. This approach, called edge computing , provides a much better response time, because there’s no need to send the data back to a central cloud-based data-storage system where it’s processed and then returned all the way back to the device. What is cloud computing?

Cloud-Scale Monitoring With AWS and Datadog

In this eBook, find out the benefits and complexities of migrating workloads to AWS, and services that AWS offers for containers and serverless computing.