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Banks suffered an astounding $485.6 billion loss to fraud and scams last year, highlighting the urgent need for them to outpace criminals. Fraud analytics plays a crucial role in enabling banks to transition from merely reacting to fraud to proactively preventing it. Explore how fraud analytics helps detect and prevent various types of fraud, minimizing financial losses and improving customer trust and satisfaction. Fraud analytics blends artificial intelligence (AI), machine learning, and predictive analytics for advanced data analysis.

Dev Nag is the Founder and CEO of QueryPal. He was previously the Founder and CTO at Wavefront, which was backed by Sequoia Capital and acquired by VMware. At VMware, he served in the Office of the CTO and launched VMware’s flagship AIOps product. He previously held engineering leadership roles at Google, eBay, and PayPal. Dev holds more than a dozen patents in machine learning and security. He published academic papers in computational biology and medical informatics at Stanford, where he received two degrees.

Artificial intelligence (AI) is a relatively new field that has rapidly evolved into a major influence on the strategic direction of organizations. Its significance extends far beyond automation, enhancing complex decision-making processes. AI is both a risk and a tool for managing risk—a paradox that organizations must confront as they navigate the landscape of 2024 and beyond. While AI is often associated with task automation, it also plays a critical role in improving decision-making. AI empowers change across various domains, from social to informational, by automating time-consuming proc

Generative AI – a technology wonder of modern times – has revolutionized our ability to create and innovate. It also promises to have a profound impact on every facet of our lives. Beyond the seemingly magical powers of ChatGPT, Bard, MidJourney, and others, the emergence of what’s known as RAG (Retrieval Augmented Generation) has opened the possibility of augmenting Large Language Models (LLMs) with domain-specific enterprise data and knowledge. RAG and its many variants have emerged as a pivotal technique in the realm of applied generative AI, improving LLM reliability and trustworthiness.

Data breaches and cyber threats are becoming increasingly common in this digital era, and protecting valuable information is the top priority for data-driven organizations. To curb the constant issues of data being compromised, lost, and misused, a Data Protection Officer (DPO) and their teams can implement a data loss prevention (DLP) strategy and tools that will continuously monitor and analyze data to identify potential violations of security policies and stop them from evolving. In this article, we will take a closer look at the seven steps of DLP strategies and tools that will help in en

Delivering an improved digital employee experience (DEX) has become a top priority for many enterprise IT leaders, as it directly influences productivity, employee morale, and other critical aspects of business success. However, many organizations still lack the necessary visibility into their IT ecosystems to fully understand how digital tools impact employee experiences and productivity. This gap often hinders efforts to effectively manage the digital workplace and provide employees with an exceptional experience.

The tech industry is synonymous with innovation, rapid changes, and the introduction of cutting-edge products. While the field offers exciting opportunities, the realities often diverge from the glamorous image portrayed in movies. Behind the scenes, professionals face extended work hours, relentless deadlines, and high expectations. These pressures are particularly pronounced for men in senior roles, where societal norms discourage expressing emotions, leading to unique mental health challenges. Fortunately, advancements in AI are providing effective tools to help men manage stress and maint

Artificial Intelligence (AI) has evolved from a mere buzzword to the driving force behind a transformative wave of digital innovation. As we approach 2025, AI's integration into business strategies is reshaping industries and paving the way for groundbreaking advancements. From machine learning to natural language processing (NLP), digital transformation is experiencing a seismic shift. Let’s explore how AI powers this transformation and revolutionizes business operations. AI fuels the future! Dive into how it powers efficiency, enhances CX, and transforms industries in the digital era of 202

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.

Augmented analytics represents a groundbreaking approach that integrates artificial intelligence (AI) and machine learning (ML) to unlock deeper insights from data. By automating data preparation and uncovering hidden patterns, it generates actionable recommendations that address the shortcomings of traditional BI systems. The driving forces behind this innovation include the explosion of data volumes, advancements in AI, and heightened customer expectations for faster, smarter decision-making.

Netskope offers a unique capability to deeply inspect network packets (post-decryption) and understand the interactions between users and the SaaS applications they use. This enables the application of granular policy controls to regulate specific actions, such as downloading, uploading, editing, posting, or creating content within any application. However, it’s essential to avoid imposing such restrictions on critical business applications like corporate email or OneDrive that employees rely on for their daily tasks.

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

Feedzai, the world’s first RiskOps platform, has achieved two significant accolades from Chartis Research. We are proud to be recognized as the leading AI-driven anti-fraud platform and to rank among the top 5 overall in the prestigious RiskTech AI 50 2024 rankings. These achievements underscore Feedzai’s pioneering role in leveraging artificial intelligence and machine learning to advance financial risk management. With an AI-first approach, our technology is designed to swiftly adapt to emerging fraud and scam patterns.

Fraud is already a complex challenge, but merchants face an additional hurdle: first-party fraud perpetrated by their own customers. Unlike second- or third-party fraud, first-party fraud occurs when consumers use their legitimate payment credentials to commit dishonest acts for personal gain. This creates a significant challenge for acquiring banks and payment service providers (PSPs) in assisting merchants with fraud prevention. To effectively support merchants, acquiring banks must develop a thorough understanding of how first-party fraud operates. This article explores how acquirers and P