• When you can’t hire the engineers you need, make them

    CIOs are in serious trouble. They’re making promises to leadership, boards, and shareholders but often can’t hire enough quality engineers to staff their strategy and deliver on those promises. As the global talent shortage reaches a 12-year high, CIOs can’t rely solely on recruiters to find engineers and skilled technicians — the most difficult roles to fill today, according to a recent ManpowerGroup survey. It’s time to go beyond hiring a
  • IDG Contributor Network: How to select a leader

    In the age of disruption, nothing is needed more than leadership. And this is the case for the entire executive team. Given this, what traits should boards and members of the executive team be looking for in candidates and in their existing leadership team. This is the question that I posed recently to the #CIOChat.What leadership traits should executives be looking for?
    I got a lot of great answers to this question. Given this, I organized the list in a top 18 format. Yes, I wanted to condense
  • IDG Contributor Network: Make your company’s data work harder for you

    We all know that data can be a company’s most important asset but managing it in the same way as other, more tangible, assets within the corporation is often neglected. Doug Laney, VP and Analyst at Gartner and author of Infonomics, points out: “Senior executives report to the board on the health of their workforce, their financials, their customers and their partnerships, but rarely the health of their information assets. Corporations typically exhibit greater discipline in trackin
  • IDG Contributor Network: Getting your ship in order before you see the iceberg

    In today’s fast-paced world, software is built, deployed, and consumed to optimize speed and flexibility – not for minimizing legal risk.  Often, legal risk is only thought about after the fact, when it should instead be taken into consideration before development begins. (Notably, the same can be said about cybersecurity.) With more and more companies investing in software development, the risk of developing or running software that isn’t properly licensed is quite
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  • IDG Contributor Network: Why you don’t need a Chief [insert new tech name here] Officer

    In recent years, as each new emerging technology or trend has appeared, we’ve seen widespread calls by tech and industry pundits for organizations to create new CXO positions specifically for each technology or trend.We’ve seen this for roles such as Chief [Data, Data Visualization, Customer, Employee Experience, Behavioral, Reputation, Trust, Culture, Engagement, Listening, Execution, Agility, Design, Social Media, Learning, Readiness, Green, Communications, Connection, Internet of
  • The age of the citizen data scientist has arrived

    Data scientists come at a premium, posing a challenge for any enterprise outside of Google, Facebook, Amazon.com and Apple. CIOs who have been fortunate enough to poach them from big tech companies or lure them from academia beam with pride as they talk about all of the business insights they’re going to generate with their data gurus.To read this article in full, please click here(Insider Story)
  • Hiring tips: 9 secrets to working with IT recruiters

    Recruiting IT talent is one of the most critical aspects of a CIO’s role — but it’s impossible to do alone. Working with IT recruiters can significantly streamline your recruiting process and make sure you’re getting the right talent through the door.But there are some secrets to getting the most out of any relationship with a recruiter, both internal and third-party, says Stephen Zafarino, vice president of national recruiting at IT staffing and recruiting firm Mondo.[
  • BrandPost: However Defined, AI is Transforming How Business Gets Done

    One of the most-hyped – and imprecisely defined – technology trends of the moment is that of artificial intelligence (AI). In some ways, this situation is far from new. AI, sometime referred to as cognitive computing, has gone through cycles of ambitious promises and operational flops since at least the early 1980s. During this decades’ long span, what “AI” means – and how it gets used in the enterprise -- has also shifted and evolved.What’s new today:
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