AI & Future Tech


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    How AI earned a seat at the design table

    Recommendation engines have changed how companies interact with customers. What happens when organizations invert the model?

    By May 26, 2022
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    2 years later: Data strategies expand, yielding faster insights

    Well into the pandemic, enterprise data strategies now aim for more flexibility and integration, as companies target faster insights, AI and automation.

    By Jen A. Miller • April 5, 2022
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    Trendline

    Low Code/No Code

    Getting the most out of low code will require assessing how it can complement the rest of the tech tool suite.

    By CIO Dive staff
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    Emerging tech rising to board-level concern

    Over half of companies cite board of directors as key decision makers on 5G, edge and AI: Gartner.

    By March 22, 2022
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    How to select the ideal AI pilot project

    The best use cases may not be splashy, big problems — like curing cancer. Instead, target the small, impactful trouble spots.

    By Jen A. Miller • March 11, 2022
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    Tech leaders fear the outcomes of biased AI: report

    Companies can lose revenue, customers or staff due to the impact of bias in their algorithms, according to a DataRobot survey.

    By Jan. 24, 2022
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    Companies tie AI success to cost savings, revenue growth: report

    Businesses require mature AI adoption to reap the financial and organizational benefits of the technology.

    By Jan. 18, 2022
  • Deere CTO: Data quality sets pace for future of AI

    Companies hoping to accelerate application development must set up data architectures with the future in mind, according to CTO Jahmy Hindman.

    By Jan. 12, 2022
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    The next step in FedEx's automation journey: Handling the largest and smallest packages

    Fewer steps involving manual inputs are vital for the company to keep service levels high amid a challenging labor environment.

    By Max Garland • Dec. 16, 2021
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    Enterprise AI success starts by curbing expectations

    To bridge the gap between possible and expected outcomes of technology, companies should inch their way to automation, experts say.

    By Dec. 14, 2021
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    3 steps toward sustainable AI scaling: Deloitte

    As leaders seek evergreen value from their AI strategies, companies must address their data, operating models and talent strategies, according to Deloitte experts.

    By Dec. 10, 2021
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    Dell's digitized supply chain makes demand planning easier during chip shortage

    The company runs virtual simulations to better detect potential disruptions and shape demand to available supply. 

    By Sarah Zimmerman • Dec. 9, 2021
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    How CVS uses ML to personalize the pharmacy

    Dedicated scrum teams carry out experiments in real time, using ML to make it easier for people to pick up their medications.

    By Dec. 9, 2021
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    AI spend to 'grow rapidly,' validation for CIOs as experiments pay off

    Leaders are looking to AI tools, such as knowledge management, for its potential to boost revenue and worker efficiency.

    By Nov. 30, 2021
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    5 questions to ask before buying AI products

    Leaders must assess the business value, sophistication and track record of AI products before committing to a solution.

    By Nov. 18, 2021
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    Most employees waste up to 8 hours a week finding data, survey said

    The long-touted merits of AI and automation are creeping into the workflow, and more employees see the advanced technology as a way to make their work lives a touch easier.

    By Nov. 16, 2021
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    Chipotle, Gulfstream share their tech strategies to improve worker experiences

    VR and automation can improve outcomes for workers and customers, the executives said Wednesday at Forbes CIO Next virtual series.

    By Nov. 12, 2021
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    Demand for AI, emerging tech skills stand out in IT talent shortage

    The rise in emerging tech hiring shows a resurgence of AI, automation and robotics activities in the enterprise, according to CompTIA.

    By Nov. 8, 2021
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    Sponsored by Protiviti

    Emerging technologies: Creating new ways to solve business problems

    The most successful CIOs of the future will be those who seamlessly provide optimal customer and employee experiences while enabling business innovation.

    By GHISLAINE ENTWISLE, Managing Director, Technology Consulting, Melbourne (AU) & SCOTT LALIBERTE, Managing Director, Global Leader, Emerging Technology Solutions, Philadelphia • Nov. 8, 2021
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    Opinion

    A CIO's guide to developing a low-code/no-code strategy

    The technology promises to transform how applications are created, yet companies have to rethink who can, and should, develop self-service tools. (Hint: It's no longer just engineers.) 

    By Christian Kelly, Sriram Sabesan • Nov. 5, 2021
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    AI use lifts team morale, research finds

    The AI upside for company culture trickles down: Better productivity lifts worker satisfaction, strengthening teams along the way.

    By Nov. 2, 2021
  • McDonald's to sell McD Tech Labs to IBM

    The company is evolving its technology strategy, weighing decisions to build technology in-house rather than using partners to develop and scale products, CEO Chris Kempczinski said.

    By Emma Liem Beckett • Oct. 27, 2021
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    Want next-gen tech and processes? Look outside IT for support

    The shift toward citizen developers is not about leaving IT out of the mix. Instead, technology advances are made through business and IT co-creation.

    By Oct. 26, 2021
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    Half of restaurant operators plan to deploy automation in 2-3 years, report finds

    Restaurants are warming up to the idea of using automation technology to fill labor gaps, a trend gaining momentum across sectors. 

    By Alicia Kelso , Oct. 15, 2021
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    Executives show bias, question AI-based decisions

    Enterprises must address bias toward AI inputs in decision-making, according to research published in the MIT Sloan Management Review research.

    By Oct. 14, 2021
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    Opinion

    How to train, test and maintain AI and machine learning models

    To understand the skill required to train them, it's useful to get a sense of the model creation process — from start to finish.

    By Steven Kursh and Art Schnure • Oct. 7, 2021