InformationWeek |
Description: InformationWeek.com's Software Tech Center is a timely, analytical source of news, analysis and case studies on software platforms and issues impacting enterprise IT organizations.
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How to Convince Wary Customers to Share Personal Information14:54 Burned by past abuses, consumers are guarding their data with an iron fist. You can win back their confidence and gain the insights that provide targeted services. What's Driving the Tech Sector's Extreme Turnover Rate?14.June The answer is multifaceted, but two of the biggest reasons for employee turnover in tech are lack of scope for career development and flat salaries. Salesforce Buys Tableau: Next Wave Analytics Consolidation13.June Salesforce buys Tableau, and Google buys Looker, kicking off a new wave of consolidation in the analytics and BI space. Waiting for the AI Revolution? Don't.13.June There's no one-size-fits-all solution to becoming AI-ready, but the building blocks for maximizing its value over the long term are already available. NLP, Machine Learning: Killer Combo for Unstructured Data12.June To apply AI to customer service interactions, you need both machine learning and natural language processing, which is why demand for NLP skills are on the rise in the job market. The Future of B2B E-Commerce12.June IT leaders can close the digital gap by taking product, customer, inventory, invoice and other information and make it a more modern user experience. How to Hire Reliable Remote Tech Talent12.June If your company is considering hiring remote IT workers, these five tips may help guide you to success. Q&A: Fractal Analytics' Co-Founder on Decision-Making and AI11.June AI, design, and engineering can help consumer-facing enterprises create new recipes for advance decision-making. The Art and Science of Robot Wrangling in the AI Era11.June Technology and cultural readiness are needed for organizations to master artificial intelligence and robotic process automation in the workplace. Four Things Modern CIOs Need to Know10.June Chief information officers stand at the forefront of how companies make and adapt to technological change. Here are four takeaways from the MIT CIO Symposium that they should keep in mind. Will AI and Machine Learning Break Cloud Architectures?10.June AI and machine learning are powered by lots of data, so much so that one futurist thinks today's cloud architectures aren't enough. Kubernetes Advantage: Considerations for a Multi-Cloud World10.June As more IT leaders deploy Kubernetes into mainstream production environments, the ecosystem around Kubernetes will grow and drive innovation. Priceline and RB Health Share Advice on Scaling Up AI7.June Consumer-facing enterprises discuss how they use AI and algorithms at scale to address their problem-solving needs. Analytics Without Behavior Change Is Just Expensive Artwork7.June IT leaders should keep in mind that a good data analytics design starts with understanding how data is being used within their enterprise organizations. Data Is the Lifeblood of Sales Intelligence Programs7.June Turn sales professionals into their own data masters. Help them organize disparate data, which can lead to intelligence and actionable insights. |
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