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Companies are dealing with overwhelming amounts of data, and this data must be governed, compliant, and secure, especially when working in the financial, healthcare, and insurance sectors. As the complexity of data environments increases, traditional data governance approaches largely fail to address these challenges adequately and lead to the emergence of what many researchers refer to as Data Governance 2.0. undefined Laying its foundation is the metadata-driven data fabric, which represents a highly transformative approach to data management and governance, compliance, and security.

Artificial intelligence has already had a positive effect on several industries, but unfortunately, this popularity and success have caused some wrongdoers to attempt to capitalize on the AI boom in unethical and illegitimate ways. One such practice is known as “AI washing,” and it is arguably one of the biggest threats to the continued growth of AI. AI washing is most easily understood by comparing it to the similar practice of greenwashing, in which companies misrepresent their products as being more eco-friendly than they actually are. Similarly, AI washing involves making false representa

There is growing concern over deepfakes, which are videos and audios that are highly realistic yet fake across various industries, but perhaps more pertinent in the B2B context. These synthetic media can mislead society and create negative impacts on reputation and financial aspects. However, it is evident that social media platforms have an essential role in addressing the fake problem and enhancing the credibility of online interactions as enterprises operate in this challenging environment. This article looks at the rise of deep fakes and also explores how popular social media companies ar

AI avatars can guide customers through technical diagnostic processes to identify problems with their devices or telecommunications services, such as internet connectivity issues or mobile device failures. This significantly reduces wait times for customers and reduces the volume of queries reaching support centers. AI avatars are redefining customer service by providing innovative and efficient solutions that benefit both consumers and businesses. In sectors such as healthcare and telecommunications, these technologies have demonstrated their ability to improve accessibility, reduce operatin

In the digital world, data is the lifeline of any business, be it trade secrets, sales records, customers’ personal data, and other sensitive information. Organizations use this data to create innovations and increase their long-term client base. However, the current situation is quite different, especially with this surge in cyberattacks, insider threats, and phishing attacks. In a recent report by Forbes, it was witnessed that in 2023, security breaches saw a 72% increase from 2021, which held the previous record. Hence, protecting this data has never been so important.

Have you encountered a bad situation that was made worse by something that is meant to help? Here’s a recent example of mine – I had to take my son to an emergency room while vacationing in Asia but the most frustrating part was dealing with insurance when we got home. The agent who initially processed my claim put me (and my money) in limbo – no external or internal follow-up communication, inaccessible and invisible in the client portal – because they didn’t follow the process for handling non-English documents. This poor customer service was entirely preventable and, though I’m not an insu

As the world navigates through 2024, cybersecurity gets more unpredictable and dangerous. With increased sophisticated cyberattacks like ransomware, phishing, and APTs, there has never been a higher demand for cybersecurity professionals. But after the rising tide, the industry stands at a significant skills gap, presenting organizations with vulnerabilities to breaches and data theft. Following a report by ISC², there is a lack of more than 3.4 million cybersecurity workers across the world. The gap becomes an important threat to diverse organizations, majorly finance, healthcare, and techno

Yashin Manraj, CEO of Pvotal Technologies, has served as a computational chemist in academia, an engineer working on novel challenges at the nanoscale, and a thought leader building more secure systems at the world’s best engineering firms. His deep technical knowledge from product development, design, business insights, and coding provides a unique nexus to identify and solve gaps in the product pipeline. The Pvotal mission is to build sophisticated enterprises with no limits for rapid change, seamless communication, top-notch security, and scalability to infinity.

Throughout 2024, data analytics continued to play a crucial role in driving data-based decision-making for B2B companies, while investment in advanced data technologies surged. These new tools offer deeper insights, predictive capabilities, and more sophisticated analytics to improve governance. The tools listed below are equipped with powerful features across BI, predictive modeling, natural language processing, and governance, reshaping the landscape of B2B data analytics. Here are our expert reviews on the top five data analytics tools that defined 2024 and how each one can help businesses

Today, enterprises find themselves on the cusp of a transformative era, poised to unlock unprecedented business value by harnessing the full potential of AI. According to McKinsey, 44% of companies implementing AI report reduced operational costs, with many also experiencing revenue growth. However, successful AI adoption and modernization involve more than just deploying the latest technologies. To achieve meaningful AI integration, organizations must first deeply understand their existing processes and pain points, establish robust data management practices, and align AI capabilities with b