The rate of companies implementing AI is continuing to skyrocket. Don’t fall victim to wasted time and a blown budget.
By Don Roedner – In the blink of an eye, AI has gone from novelty to urgency.
Tech leaders are telling companies they need to adopt AI now or be left behind. And a recent Gartner survey shows just that: AI adoption has skyrocketed over the last four years, with a 270 percent increase in the percentage of enterprises implementing AI during that period.
However, the same survey shows that 63 percent of organizations still haven’t implemented AI or machine learning (ML) in some form.
Why are there so many organizations falling behind the curve?
We meet with companies every week that are in some stage of their first ML project. And sadly, most of the conversations go more or less the same way. The project is strategic and highly visible within the organization. The internal proof of concept went off without a hitch. Now, the team is focused on getting the model’s level of confidence to a point where it can be put into production.
It’s at this point – the transition from proof of concept to production software development – that the project typically runs into big trouble. When we first meet with data science teams, their budget is often dwindling, their delivery deadline is imminent, and their model is still underperforming.
Sound familiar? The guidelines below might help your organization get its AI model to production on time without blowing your budget. more>
Posted in Business, Economy, Education, How to, Product, Science, Technology
Tagged AI, Artificial intelligence, Business improvement, Internet, Productivity, Skills, Technology
By Katie Bo Williams – More than a year since the new National Defense Strategy refocused the U.S. military away from counterinsurgency and back towards the country’s greatest strategic competitors, some policy and strategy experts say the Pentagon hasn’t yet figured out how to “compete” with Russia and China.
In fact, it hasn’t even settled on a definition for the “competition” in “great power competition.”
The uncertainty has left former officials scratching their heads about how, specifically, the Defense Department plans to counter China and Russia beneath the threshold of armed conflict. It also appears to be pulling the Pentagon’s policy planners beyond their traditional purview of fighting and winning wars.
“The NDS has two pieces to it: it says you have to compete with China and Russia and prepare for conflict with China and Russia,” said Mara Karlin, a former deputy assistant defense secretary for strategy and force development. “Those are different. The way you would manage and develop your force is different depending on which one you are biasing towards.” more>
Posted in Business, Economy, Education, History, Leadership, Media, Net, Science, Technology
Tagged Business improvement, Capital, Government, Leadership, Super regions, Technology, United States
By Stuart Carlaw – When looking at optimizing the digital transformation process in industrial and manufacturing verticals, the task is complex, fraught with risk and subject to increasing pressures in abundance. ABI Research has outlined a number of best practices that fall within a two-step process that will help in “de-risking” the transformation process.
Probably the most profound challenges for anyone looking to implement a technology-driven transformation process is clearly understanding where you are currently in terms of solution maturity and what the end vision should be. Once you know where you are, then you can realistically look to where to target for advancement.
The Industry 4.0 Maturity Model by ABI Research has been designed to provide companies with a quick snapshot of their maturity level and should be viewed as a tool to help align corporations objectively about not only where they stand in the spectrum of industrial development but also where their vision should be aligned regarding future projects.
Once an organization has a good perspective of where it sits on the maturity scale, the job of avoiding common mistakes becomes a far easier prospect. The chances of chasing unrealistic technology goals and making poor decisions based on stock price rather than operational viability become far less when leadership is honest and aligned around a clear understanding of state zero represented in today’s modus operandi.
However, any company is not out of the woods until it galvanizes around a few golden rules when it pivots towards making meaningful changes to your future fortunes. >more>
Posted in Business, Economy, Education, How to, Net, Science, Technology
Tagged Broadband, Business improvement, Digital transformation, Internet, Manufacturing, Productivity, Technology
Top 5 business benefits of modernizing legacy networks
By Wayne Hickey – Modernizing legacy networks is a hot topic, and for very good reasons.
Consider this – your legacy network is rapidly headed to obsolescence, while your packet-based applications are growing. Legacy applications are hindering your revenue growth opportunities, consuming your budget, and degrading your customers’ quality of experience, which can lead to the loss of your existing and/or new customers.
Two primary factors are driving the migration of legacy networks; (1) the imminent phase-out of legacy systems, and (2) the need to use modern packet networking techniques to improve network efficiencies, serve end-users better, and open up new revenue-generating business opportunities.
Let’s further break it down into the top 5 business benefits of modernizing legacy networks:
The biggest bang for your buck is to reduce the number of networks you operate with the goal of getting to a single, common network. Why? Running parallel networks is costly, complex, and ultimately unrealistic. Network silos are costly to manage and prevent the use of common features, toolsets, and services. more>
Posted in Broadband, Business, Communication industry, Economy, Education, Net, Technology
Tagged Broadband, Business improvement, Ciena, Fiber optics, Internet, Skills, Technology