Increased use of AI can drive efficiencies and reduce costs in compliance management. Here's what that means for CIOs in highly regulated industries.
As more organizations move to cloud solutions, CIOs need to rethink how they monitor for vulnerabilities and adopt more modern security postures.
When it comes to realizing the benefits of digital automation, maturity matters. Here's what CIOs need to know to assess and advance their automation efforts.
Struggling to make sense of all the data your company creates? The right automation strategy may be your best bet to unlock silos and make data more useful.
Advanced data analytics is transforming the way companies make decisions and respond to market changes. Here's what that means for CIOs looking to build internal dataops teams.
As we go from crisis to recovery in year two of COVID, it's time to reset your team's agile velocity. Here's how.
COVID-19 is transforming the way the economy works, guaranteeing that our data needs will also change and grow. Here's what that means for CIOs in the year ahead.
In todayu2019s Agile-driven world, traditional KPIs are not the best measures of software development productivity. Here are redefined metrics for assessing team performance, output, and morale.
Covid-19 has brought many challenges for today's IT leaders, including continuing to drive new value without adding talent or increasing budget. Here's a new look at running lean.
Like SaaS before it, AIaaS is a boon for businesses that want tap into the power of AI u2014 without the time and expense of developing their own AI-based systems.
Despite the growing ubiquity of AI, many IT leaders still feel anxious about its risks and unsure of the opportunities. But todayu2019s executive boards arenu2019t having it u2013 they want to make AI a business priority.
Canu2019t find talent fast enough? Train them! Itu2019s no secret that hiring external talent is no longer sufficient to fulfill todayu2019s tech employment demands. Thatu2019s why many companies are investing more resources in upskilling.
While many businesses are fueled by their ambition to implement AI initiatives, few understand how it can work for their businesses. How do we keep our AI ambitions in line with the business needs of our organization?
Even for technology veterans, keeping pace with advancements is like chasing a moving train that will always be just a bit faster. Try as you may, you can never quite catch up and, if you stop trying, you will never catch up.
The #MeToo movement ushered in a wave of gender parity awareness in nearly every industry, yet many women are still feeling underrepresented in tech. Can we do more to make IT more welcoming to women?
Those who want to see their influence grow rather than shrink need to look for opportunities and partners rather than losses and interlopers.
Effectively managing to an IT project budget is a shared responsibility between the vendor and the client. Expect change, but donu2019t let it derail your budget and project goals.
Is a rewrite or a rebuild of legacy systems what's right for customers, budgets and time?
Rather than waiting for peers and competitors to lay the groundwork for blockchain, todayu2019s IT leaders should consider the advantages of going early into this innovation frontier.
As a few companies race to monetize the kind of machine learning that focuses on teaching robots to behave more like humans, many companies are grappling with how to leverage artificial intelligence and smart machines.
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