Balancing people, data and technology

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An organization’s ability to manage and balance the three main pillars of people, data and technology has a significant impact on brand success. As the workplace becomes more diverse, dynamic, and decentralized than ever before, businesses must be able to focus on inclusion in the workplace, leveraging AI tools and data resources, and staying connected to both staff and customers.

Learn from our Chief Revenue Officer, SAP CX, how to create a customer data foundation that enables flawless customer experiences in today’s rapidly changing business environment. The transition from ad-hoc machine learning techniques to a more production line-based approach is facilitated by companies having a clear understanding of the required phases and how to handle failures at each level. As everything becomes connected to the internet and managed in the cloud, the manufacturing and critical infrastructure sectors are becoming increasingly vulnerable to dangers that can be more serious than data breaches. Maintaining the same attitude regarding CV gaps in the post-pandemic era is difficult. Christina Gialleli, Head of People Operations at Epignosis, discusses the stigma associated with resume gaps and discusses possible solutions and benefits.

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75% of brands are changing their CX data strategy

Businesses recognize how important the customer experience is, yet most struggle to deliver the experience their customers want. We are re-evaluating. Jen Bailin, Chief Revenue Officer, SAP CX, discusses how to build a customer data foundation that connects front-office and back-end business operations. As industry experts in technology, we know that unlocking revenue, reducing churn, and achieving growth all depend on delivering a personalized customer experience. It is difficult to satisfy today’s customers. People, procedures, and technology need to work together to get it right. And while businesses recognize the importance of customer experience, many do not use consumer data effectively.

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Resume blanks have a stigma

A professional break on a candidate’s resume was considered a stain that needed to be expertly swept under the rug. Others make sure to disclose it in their application before using techniques such as non-chronological resumes. It’s not that I have a bad personality. But until recently, recruiters made that assumption. Candidates knew it. The dominant work culture demanded that elite talent be recognized only by being in constant demand. You probably won’t go more than a few months without work. This was especially true in a highly competitive business like the software industry.

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OT environments are under attack

As always, financial gain is the primary cause of cyberattacks on functional technology. Ransomware schemes impacted over 80% of his OT environments last year. Etay Maor, senior director of security strategy at Cato Networks, explains how OT systems are vulnerable with aging technology, infrequent patching challenged by work stoppages, and lack of security resources. and how organizations can address these issues. Over the past decade, operational technology (OT) has undergone a major transformation. The development of Internet-enabled OT systems, including industrial control systems and other OT systems such as supervisory control and data acquisition systems, distributed control systems, remote terminal units, programmable logic controllers, etc., drives the demand for improved system connectivity. This is the result of rising. , faster equipment maintenance, and better insight into resource usage.

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The magic behind AI-powered feature engineering

Artificial intelligence is essentially the process of moving from raw data to machine learning models. Ryohei Fujimaki, Founder and CEO of DotData, details the journey, the process and the challenges that come with it, and how new technology can upend it. Companies face many challenges when switching from raw data to ML models. However, moving from ad-hoc machine learning techniques to more production line-based strategies can help organizations. I have. The data journey is interrupted and important new tools are creating new possibilities such as automated feature discovery and evaluation.

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