about-this-project 
Eric D. Brown
APRIL 18, 2024
Even though it is over-hyped, AI isn't just a buzzword—it's a game changer for anyone serious about staying ahead in today's fast-paced market. For leaders, pouring resources into AI is a statement of intent that they are serious about digital transformation.
The Accidental Successful CIO
DECEMBER 21, 2022
CIOs are responsible for ensuring that software projects don’t fail Image Credit: Spry. As the person with the CIO job, it is expected that you’ll manage an IT department that can successfully complete software projects in order to show the company the importance of information technology. Having Too Few Team Members.
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CIO Business Intelligence
APRIL 12, 2024
With information about products and availability constantly changing, Tractor Supply sees Hey GURA as a “knowledge base and a training platform,” says Rob Mills, chief technology, digital commerce, and strategy officer at Tractor Supply. Customers may have questions about plants to grow in a certain climate zone, for example.
The Accidental Successful CIO
FEBRUARY 2, 2022
As a CIO I suspect that you are well aware that there are a number of different ways that your IT teams can go about developing software (and doing a lot of other things). The waterfall methodology follows a specific sequence from start to finish when the final project is delivered. Which software development methodology is best?
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The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. It will show you what embedded analytics are and how they can help your company.
CIO Business Intelligence
NOVEMBER 14, 2023
So, how do you as an IT leader unify these wide-ranging personalities into a cohesive project team? Instead, you seize on common goals most team members have: To see success, feel good about the work they do, and contribute in ways that play to their strengths — while avoiding what they find off-putting or unproductive.
CIO Business Intelligence
OCTOBER 16, 2023
IT organizations have worked hard to get away from the problems that had plagued their past project delivery processes. Those changes have indeed helped, but many IT projects still fail. True, project failure no longer brings down the whole IT environment — as it might have done a few decades ago. So what’s going on?
Speaker: Data Robot
You'll learn more about biggest dos and don’ts from our predictive experiences: How to qualify first projects Which problems to start with When to deploy AI Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.
Advertiser: Data Robot
Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. Trusted AI and how vital it is to your AI projects. AI storytelling in communicating value to your organization. The importance of governance in ensuring consistency in the modeling process.
Advertiser: Data Robot
Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
Advertiser: ZoomInfo
Generally curious about the CI space? Projected growth and what’s to come for Conversation Intelligence. Has Conversation Intelligence (CI) been discussed in your organization, but you don’t know where to start? Ready to learn more? In this eBook, we’ll cover: The history of Conversation Intelligence.
Speaker: Beekey Cheung, Software Consultant, Professor Beekums, LLC
In this talk, Beekey will cover: How to have productive conversations about estimates, goals, and commitments with stakeholders to get alignment and ultimately deliver better products. Projects where estimates are not appropriate and what to do instead. Projects where estimates are not appropriate and what to do instead.
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