business-value 
CIO
MARCH 7, 2024
Social sustainability is good for business. The United Nations defines social sustainability as, “Identifying and managing business impacts, both positive and negative, on people.” Benefits of social sustainability Businesses are investing to build momentum in their social sustainability efforts. million on average.
CIO
APRIL 1, 2024
Despite the promise generative AI holds for boosting corporate productivity, closing the gap between its potential and business value remains one of CIOs’ chief challenges. Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption.
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CIO
MAY 5, 2023
Generative AI such as ChatGPT has of late captured the imagination of business leaders across industries. The combination of CarMax’s revolutionary digital business model applied to the used-car business with revolutionary AI tools available to all makes for powerful and profitable business outcomes. billion overall.
CIO
MAY 9, 2023
Like most CIOs you’ve no doubt leaned on ROI, TCO and KPIs to measure the business value of your IT investments. Those Three Big Acronyms are still important for fine-tuning your IT operations, but success today is increasingly measured in business outcomes. Maybe you’ve even surpassed expectations in each of these yardsticks.
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The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges.
CIO
JANUARY 16, 2023
Choice Hotels International’s early and big bet on the cloud has allowed it to glean the many benefits of its digital transformation and devote more energies to a key corporate value — sustainability, its CIO maintains. I am in the business of hospitality. Amazon does,” he says. “I
CIO
SEPTEMBER 20, 2023
Mark Booth: We have a growth strategy to improve our business, and to support that, we’re driving a transformation in technology and business processes. But the more challenging work is in making our processes as efficient as possible so we capture the right data in our desire to become a more data-driven business.
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As a software company, you already know the value of data and analytics for your business. The decision then becomes whether to build your own in-house analytics or invest in an analytics platform that can be easily embedded into your software. Find out which one is the best decision for software providers like you.
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Embedded analytics can help you deliver cutting-edge analytics experiences to your end-users that align with KPIs that are critical to the growth and success of your business.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics.
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We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges.
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We hope this guide will transform how you build value for your products with embedded analytics.
Advertiser: Data Robot
The business and creative possibilities are practically limitless with generative AI. As a leader, it's going to be tempting for your team to want to tinker with the technology, but it’s important to focus your team on the value.
Advertiser: Data Robot
This white paper covers: The top challenges businesses face when evaluating AI vendors. How businesses can gain immediate value from AI. This report explores why it is so challenging to choose an AI vendor and what you should consider as you seek a partner in AI. The five key things to consider when looking for an AI vendor.
Advertiser: Data Robot
An organization’s path to AI success can be full of obstacles, from a proper assessment of its own AI maturity, to a better alignment between business and technical teams, many factors can influence the outcomes. While AI progress is hard, companies don’t have to get stuck in an endless loop of inertia on their path to value-driven AI.
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