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Generative AI (GenAI) has the potential to transform enterprise operations by driving automation, boosting efficiency, and fostering innovation. However, its implementation is not without challenges, particularly around data privacy and security. According to Gartner's Generative AI 2024 Planning Survey, 39% of data and analytics leaders identify data protection and privacy as major concerns. What fuels these challenges? Traditional data management practices, characterized by fragmented data sources and siloed governance protocols, are proving inadequate in the era of Large Language Models (L

Artificial intelligence (AI) is revolutionizing how organizations operate, from enhancing customer experiences to optimizing internal processes. With its potential to add an estimated $19.9 trillion to the global economy by 2030, AI’s transformative impact is undeniable. For product teams, AI is reshaping daily operations, bringing significant benefits alongside the challenges of adoption. While the excitement around AI is justified, it’s essential for product leaders to approach its integration thoughtfully. Here’s what to consider when incorporating AI into your product strategy.

In a shocking revelation, a massive data leak has exposed sensitive personal information of over 1.6 million individuals, including Indian military personnel, police officers, teachers, and railway workers. This breach, discovered by cybersecurity researcher Jeremiah Fowler, included biometric data, birth certificates, and employment records and was linked to the Hyderabad-based companies ThoughtGreen Technologies and Timing Technologies. The impact of such breaches goes far beyond what was capable years ago. In the past, stolen identity would have led to the opening of fake credit cards or o

As organizations continue doubling their reliance on data, the question of having credible data becomes more and more important. However, with the increase in volume and variety of the data, high quality and keeping track of where the data is coming from and how it is being transformed become essential for building credibility with the data. This blog is about data quality and data lineage and how both concepts contribute to the creation of a rock-solid foundation of trust and reliability in any organization.

Kobi Kalif is the CEO and co-founder of ReasonLabs, a provider of enterprise-grade cybersecurity protection to home users all around the world. Kobi is an entrepreneur and engineer with more than 15 years of experience in cybersecurity and research & development. Before acting as ReasonLabs’ CEO, he worked at various startups and enterprises leading development teams and serving as a VP of R&D. Outside of leading his team of cyber defenders, Kobi enjoys playing basketball and spending time with his two kids. He resides in Tel Aviv, Israel

In this digital world, data governance is a critical tool for operating any data-driven organization. As data continues to be favored in business operations, data governance measures are required to keep all data secure, accurate, and updated. Therefore, to remain on top of the data governance game, the data engineering teams must understand the multiple options that will aid them in developing data governance strategies that perfectly suit their respective businesses. So to stay ahead of the technological curve, we will look at some of the top data governance trends and forecasts for 2024, w

Sebastian is Storyblok’s VP of Engineering as an experienced developer, team builder, and leader with over 10 years of experience in CMS systems, security, performance, and usability as his primary focus points. Outside of work, Sebastian is passionate about organizing community events for developers and is always up for a good cup of coffee. Establishing strong access controls to limit access to sensitive information and ensuring robust authentication methods are also critical. Continuous monitoring of AI tool usage and keeping an eye on any suspicious activity will help in early detection

Chief Information Security Officers (CISOs) have some serious responsibilities on their shoulders as they single-handedly carry the security policies and enforcement, which are directly proportionate to an entire company’s success or downfall. CISO’s insights and knowledge allow a company to balance out supporting its internal team while guarding the organization’s data and infrastructure. However, in recent years, CISOs have witnessed shifts in the cybersecurity realm; especially with the technological advancements, cyberattacks such as phishing have increased by 58%, consisting of 90% data

The 2024 Atlantic hurricane season is shaping up to be one of the most intense on record, posing significant risks to the oil and gas industry. Infrastructure damage, supply chain disruptions, and economic challenges are among the critical threats, especially for offshore and remote operations. The Gulf Coast, a region that accounts for 45% of U.S. oil refining capacity, over half of natural gas processing, and 20% of crude oil production, is particularly vulnerable. According to Colorado State University’s Tropical Weather and Climate Research Center, this coastline is the most likely in the

Artificial Intelligence (AI) is fundamentally reshaping the dynamics of modern business, offering unprecedented opportunities to redefine operational efficiency, customer engagement, and strategic decision-making. As 2025 approaches, both the MarTech landscape and the broader AI technology industry are evolving rapidly. Businesses are compelled to adapt to this transformative era by exploring new strategies, tools, and frameworks to thrive in a competitive, AI-driven marketplace. This comprehensive exploration delves into the key trends, expert insights, and groundbreaking predictions that ar

Large Language Models (LLMs) are transforming the business landscape, particularly in sales. These advanced AI tools harness data to deliver valuable insights, revolutionizing how sales teams interact with customers, generate leads, and develop innovative sales strategies. This article explores how LLMs enhance efficiency, personalization, and strategic depth in sales operations. "LLMs are just beginning to revolutionize the sales process," said Logan Kelly. "While they currently automate routine tasks, their future potential lies in predicting customer needs, delivering hyper-personalized st

Businesses constantly juggle competing priorities—such as balancing innovation with reliability, investment with profit, and speed with security. Each leader in the organization plays a role in these decisions, and traditionally, CISOs have been positioned as the defenders of the business, focused on security and risk mitigation. Over the past decade, however, the role of the Chief Information Security Officer (CISO) has evolved in response to the increasing digitization and data-driven nature of business. No longer confined to back-office support, CISOs are stepping into more prominent roles

The holiday season is here, and with it comes a new era for IoT to shine. As homes, businesses, and supply chains become more interconnected, holiday traditions are being reshaped by IoT innovations—from energy-efficient ornament lights to automated gift delivery systems and beyond. This article explores how IoT is revolutionizing holiday celebrations and why businesses should embrace this trend to create seamless, innovative experiences during the most festive time of the year.While preparing for the next festive seasons, companies have to adopt IoT innovation and tackle issues in the forms

As we approach 2025, the technological landscape continues to evolve at an unprecedented pace. The rapid development of emerging technologies is poised to revolutionize industries ranging from transportation to healthcare over the next decade. Innovations like causal AI and next-generation large language models (LLMs) are set to transform traditional methods, enabling businesses across sectors to make accurate, data-driven decisions derived from experimentation and insights. In this exclusive AITech Park article, we explore the perspective of Mridula Rahmsdorf, CRO at IKASI, on how the coming

The healthcare system we inherited was a reflection of stagnation. Outdated systems and inefficient processes had become the norm, leaving healthcare professionals in a constant struggle to meet the ever-growing demands of modern medicine. This environment was not only challenging for providers but also frustrating for patients. Inefficient, archaic practices highlighted how far healthcare had fallen behind compared to industries that had readily embraced modern technologies. Over the past decade, we’ve seen a shift toward enhancing user experiences across industries.

Web3 technology has transitioned from being a buzzword and speculative trend to a transformative force shaping the digital landscape. As we approach 2025, Web3 is set to redefine business models, offering unprecedented security and transparency through decentralized platforms. But what does this future hold, and how can businesses, especially in the B2B sector, harness the power of Web3 for sustained success? Let’s explore the key trends, challenges, and opportunities Web3 will bring in 2025. Web3 technology has transitioned from being a buzzword and speculative trend to a transformative forc

In today’s fast-paced environment, it’s not about how much data you collect but how effectively you use it. Smart data is not just big data—it’s better data: focused, relevant, and actionable. By filtering out the noise from millions of data points, businesses can uncover insights that predict customer behavior, optimize processes, and reveal new opportunities. Companies leveraging smart data report a 20% increase in customer engagement and significant reductions in operational inefficiencies. The Smart Data Revolution isn’t a passing trend; it’s the future. And the first step toward embracin

Data warehouses have an older design, which becomes stifling in a world where information and data escalate at an exponential pace. Just try to picture hundreds of hours dedicated to managing infrastructure, fine-tuning the clusters to address the workload variance, and dealing with significant upfront costs before you get a chance to analyze the data. Unfortunately, this is the best that one can expect out of traditional data warehousing methodologies. For data architects, engineers, and scientists, these burdens become a thorn in their side, reducing innovation by 30% and slowing the proces

AI bias has the potential to cause significant damage to cybersecurity, especially when it is not controlled effectively. It is important to incorporate human intelligence alongside digital technologies to protect digital infrastructures from causing severe issues. AI technology has significantly evolved over the past few years, showing a relatively nuanced nature within cybersecurity. By tapping into vast amounts of information, artificial intelligence can quickly retrieve details and make decisions based on the data it was trained to use.

Business in a dynamic environment no longer considers data a luxury; it’s the fuel that makes wise decisions and drives business success. Imagine real-time insights at your fingertips regarding your customers or the ability to identify operational inefficiencies buried in data sets. Be empowered to drive growth by making data-driven decisions that enable you to optimize marketing campaigns and personalize customer experiences. However, unlocking this potential is where many of the SMBs struggle. Traditional data analytics solutions often come with fat price tags, thereby positioning themselve