Finding a balance between people, data and technology

An organization’s ability to manage and balance the three main pillars of people, data and technology has a significant impact on the success of a brand. Businesses need to be able to focus on workplace inclusion, use AI tools and data resources, and stay connected with their staff and customers as the workplace becomes more varied, dynamic and dispersed than ever .

Learn how to build a customer database to enable seamless customer experiences in today’s fast-paced business environment with Chief Revenue Officer, SAP CX. Moving from an ad hoc machine learning method to a more blockchain-based approach can be facilitated if companies have a clear understanding of the phases required and how obstacles can be addressed at each level. The manufacturing and critical infrastructure sector is increasingly vulnerable to dangers that can be more severe than data breaches as everything becomes accessible over the internet and managed in the cloud. It’s hard to keep the same attitude about resume gaps in the post-pandemic era. The stigma associated with CV gaps is examined by Christina Gialleli, Human Operations Manager at Epignosis, along with possible solutions and the benefits of doing so.

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75% of brands are changing their CX data strategy

While companies realize the importance of customer experience, most struggle to deliver the experiences customers want. Companies are reassessing their CX data strategy and technologies to achieve this. SAP CX Director of Revenue, Jen Bailin, explains how to create a customer database that connects front-office interaction with back-end business operations. As industry experts in technology, we realize that unlocking revenue, reducing churn, and growing all depends on delivering a personalized customer experience. It is difficult to satisfy today’s customers. To do it right, people, procedures and technology must work together. And while companies are aware of the importance of customer experience, many of them use consumer data inefficiently.

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There is a stigma around gaps in resumes

A professional break on a candidate’s resume was once seen as a stain that needed to be swept under the rug deftly. Others would make sure to disclose it in their application before using techniques like non-chronological resumes. Of course, a year without a job does not automatically indicate that a candidate is unqualified or has a bad character. But until recently, hiring supervisors made this assumption – candidates were aware of it. The prevailing work culture demanded that elite talent could only be recognized by always being in demand; never going more than a few months out of work. This was especially true in a business as competitive as the software industry.

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OT environments are under attack

As usual, the main driver of cyberattacks against assistive technologies is financial gain. Ransomware systems affected more than 80% of OT environments last year. Etay Maor, senior director of security strategy for Cato Networks, explains how vulnerable OT systems are due to aging technology, infrequent patching made difficult by work stoppages, and insufficient security resources, as well as as how organizations can solve these problems. Over the past decade, operational technology (OT) has undergone a significant transformation. The development of Internet-enabled OT systems, which include industrial control systems and other OT systems such as supervisory and data acquisition control systems, distributed control systems, remote terminals and logic controllers programmable, is the result of the growing demand for improved system connectivity. , faster equipment maintenance and better insights into resource usage.

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The magic behind AI-powered feature engineering

Artificial intelligence is basically the process of moving from raw data to machine learning models. DotData Founder and CEO, Ryohei Fujimaki, digs deeper into the path, processes and difficulties involved, and how new technologies are disrupting it. When moving from raw data to ML models, companies encounter many problems. However, moving from an ad-hoc machine learning method to a more blockchain-based strategy can help organizations. This requires understanding the phases involved and how obstacles can be resolved at each level. The data journey is disrupted and important new tools are creating new possibilities such as automated feature discovery and evaluation.

Read more about it here.

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