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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 broader business objectives. This approach enables improvements in efficiency, accuracy, cost savings, and compliance, empowering companies to excel in competitive markets and maximize AI’s impact and return on investment. The Foundation: Data Quality data—accurate, accessible, and up-to-date—is crucial for successful AI. Machine learning algorithms, which drive AI applications, ... Continue reading →

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 leverage data more effectively. Tableau — The Visualization Expert Overview: Tableau is another leader in data visualization, helping organizations transform data into engaging visuals. Its drag-and-drop functionality makes complex datasets approachable and visually engaging. Key Features: Advanced Visualization Options: Offers a wide range of visualizations, from dashboards to interactive ... Continue reading →

In your experience, how can AI make the roles of professionals in auditing and accounting more meaningful and impactful? We’re currently grappling with a significant backlog of work and increasing pressure to do more with less. Simultaneously, we’re facing a pipeline problem – retirements are outpacing the influx of new professionals. AI is proving to be a vital tool in bridging this gap. It’s allowing firms to train new audit and accounting professionals faster and more effectively, enabling them to acquire a broader knowledge base in a shorter time frame. This is crucial because there’s a wealth of institutional and professional knowledge held by retiring professionals that has traditionally been difficult to impart to first and second-year staff due to its sheer volume and complexity. This shift is crucial for the future of the profession. It’s making accounting and auditing more attractive to new talent. As we face the challenges of losing staff ... Continue reading →

The holiday season is just around the corner, bringing with it Black Friday, the year’s largest shopping event. While this period offers exciting opportunities for both retailers and shoppers, it also brings increased risks. Shoppers eagerly anticipate discounts, but hackers and fraudsters see the surge in online and in-store traffic as an opportunity to strike. Blockchain technology, initially developed for cryptocurrency, is now becoming a powerful tool for improving security in various sectors, including retail. With retailers and payment processors turning to blockchain, they aim to protect customer information and quickly detect and block fraudulent activities during Black Friday sales. When the volume of transactions skyrockets, cybercriminals target both online platforms and physical stores. In 2023, Adobe reported that consumers spent $9.2 billion on Black Friday, and the figure is expected to rise this year. As online shopping continues to grow faster than in-store ... Continue reading →

Cybersecurity breaches are increasingly common among small and medium businesses (SMBs), making them ideal targets for cybercriminals. Due to limited budgets, lack of expertise, and the misconception of being “too small to be targeted,” many SMBs operate with minimal cybersecurity defenses. Unfortunately, this vulnerability is exactly what cyber attackers rely on, exploiting weak defenses through relentless attacks and sophisticated phishing campaigns. In India alone, ransomware attacks on websites surged by 261% this year, with insurance companies often left covering the damage. This raises an important question: How are organizations that specialize in risk management being blindsided by cyber threats? The answer lies in inadequate security practices. Many businesses lack critical defenses such as multi-factor authentication (MFA), phishing-resistant employee training, reliable backups, and endpoint detection and response (EDR) systems. Additionally, the rapid shift of ... Continue reading →

The healthcare sector is undergoing rapid transformation, driven by a deeper understanding of patient needs and the adoption of cutting-edge technologies. At the forefront of this evolution are digital biomarkers and AI/ML, which serve as critical enablers of next-generation healthcare solutions. This paper examines the historical development, impact, and future trajectory of these technologies to explore how they are reshaping the modern healthcare ecosystem. The Evolution of Biomarkers in Healthcare Traditionally, biomarkers have played a crucial role in diagnosing diseases, predicting their progression, and evaluating treatment responses. Conventional biomarkers, such as blood tests and imaging, paved the way for the digital evolution of healthcare. Digital biomarkers utilize technology for real-time data collection and analysis, offering more dynamic insights into health trends. With the widespread adoption of wearable devices and mobile health apps, digital biomarkers are ... Continue reading →

Dev, can you start by sharing the journey that led you to establish QueryPal and what inspired you to focus on transforming customer support through AI-powered ticket automation? The journey to QueryPal began with my experiences at Google and PayPal, where I saw firsthand the challenges of scaling customer support. I realized that while AI was transforming many industries, customer support remained largely unchanged. The inspiration came from seeing how Large Language Models (LLMs) could understand and generate human-like text. I knew we could leverage this technology to revolutionize customer support, making it more efficient and effective. QueryPal was born from the vision of creating an AI system that could understand customer inquiries at a deep level and provide accurate, helpful responses at scale. In the realm of ticket automation, how has AI contributed to speeding up the process of identifying customer issues and predicting effective solutions? AI has revolutionized ticket ... Continue reading →

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. The Risks Introduced by AI However, AI also brings new risks that organizations must address. One significant concern is the ethical implications of AI-driven decisions. Bias in lending or hiring processes, for example, may arise if AI systems reinforce existing prejudices based on historical data, leading to unfair outcomes. The focus on ethical AI has intensified in 2024, with governments and organizations working on frameworks to make AI applications more transparent and equitable. The European Union’s AI Act exemplifies this effort by regulating high-risk AI systems and holding organizations ... Continue reading →

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. Most recently, a technique known as Graph RAG has been getting a lot of attention, as it allows generative AI models to be combined with knowledge graphs to provide context for more accurate outputs. But what are its components and can it live up to the hype? What is Graph RAG and What’s All the Fuss About? According to Gartner, Graph RAG is a technique to improve the ... Continue reading →

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 enhancing the security of your IT structures. Seven-Step Framework in Deploying DLP Strategy If any business is handling sensitive data and operating in a regulated environment or suffers from repeated cybersecurity threats, it’s time that needs to add DLP strategies. Proofpoint’s 2024 data loss landscape report indicates that 84.7% of enterprises have encountered data loss, with an ... Continue reading →

Data has always been the backbone of business operations, highlighting the significance of data and analytics as essential business functions. However, a lack of strategic decision-making often hampers these functions. This challenge has paved the way for new technologies like data fabric and data mesh, which enhance data reuse, streamline integration services, and optimize data pipelines. These innovations allow businesses to deliver integrated data more efficiently. Data fabric can further combine with data management, integration, and core services across multiple technologies and deployments. This article explores the importance of data fabric architecture in today’s business landscape and outlines key principles that data and analytics (D&A) leaders need to consider when building modern data management practices. Key Pillars of Data Fabric Architecture To build an effective data fabric, organizations need to implement a variety of components, including data integration, ... Continue reading →

The rise of artificial intelligence (AI) has transformed many sectors across the business landscape, reshaping how organizations operate. However, the convenience of AI introduces environmental challenges, such as increased energy consumption and hardware waste. These unintended consequences call for thoughtful strategies from chief information officers (CIOs), who must balance technological advancements with sustainability goals. According to a Gartner survey, environmental issues are now a top priority for tech companies, and CIOs are facing pressure from executives, stakeholders, and regulators to implement sustainability initiatives. The convergence of AI and environmental responsibility requires proactive measures that can drive sustainable transformation. This article offers a framework for adopting green algorithms—energy-efficient AI solutions—to help CIOs build sustainable IT organizations. A Five-Step Framework for Green Algorithms Green algorithms are critical ... Continue reading →

Threat intelligence is a critical aspect of cybersecurity. How does Pvotal approach proactively identifying and assessing potential threats in today’s rapidly evolving landscape ? We started by recognizing that we cannot be reactive to threat actors and trying to defend against each type of potential threat. It is futile to try to anticipate how nation-state actors like Russia, Iran, and North Korea will act or how private groups may attack our systems. We developed a proactive methodology similar to that of Google, Netflix, or Uber. In our version of Zero Trust Methodology, we created our own privilege engine and network isolation protocols. We are able to minimize the potential attack surface and shift key processes and infrastructure to be accessible only to core automated services. We use secure runtimes like restricted Golang and Rust binaries within containerized images and automate our deployment to eliminate human intervention and the potential for human error. Our core ... Continue reading →

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 technology-related businesses that are more vulnerable to cyber attacks. As we head to the future, B2B businesses need to invest in the next generation of cybersecurity talent and equip them with crucial knowledge and skills to offer sensitive data and systems protection. Key Skills and Competencies for Future Cybersecurity Professionals Modern threats are going to be fought by cybersecurity ... Continue reading →

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. Here’s how process mining could have saved present and future costs for the insurance company in my scenario. Digital process definition: Ahead of my problem, the business process flow for routing claims would have already been discovered and acceptable paths defined. Omnipresent monitoring: My claim being dumped in no-man’s land would have been flagged as a deviation by process mining not finding any status update after a ... Continue reading →

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. Organizations can use data loss prevention (DLP), an indispensable tool that monitors, identifies, and protects sensitive data from unauthorized access and leakage, to prevent data loss. DLP also aids organizations in meeting regulatory mandates such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). These laws and regulations are stringent ... Continue reading →

We live in an age where personalization is key to our experiences, from music and web series to the products and services we use, all tailored to us based on data collected by websites and apps. This capability helps us better understand our needs and improve our overall quality of life. Similarly, in the healthcare sector, technologies like artificial intelligence (AI), natural language processing (NLP), and machine learning (ML) allow us to monitor our health and receive personalized treatments. Often referred to as AI in healthcare, this technological collaboration is transforming traditional patient care by introducing futuristic clinical and administrative solutions. Doctors, researchers, and healthcare providers are using these advanced tools to enhance healthcare delivery in areas such as preventive care, disease diagnosis and prediction, treatment plans, and administrative tasks. AI in healthcare is also making strides in recruitment, allowing companies to contribute more ... Continue reading →

In today’s tech-driven world, companies that adopt cloud computing can rapidly seize new market opportunities. By leveraging cloud technologies, IT professionals are empowered to innovate new models and software solutions, leading to greater business efficiency and mitigating technological risks. However, many CIOs continue to rely on traditional models that, while effective in the past, are increasingly obsolete in the digital age. In this era, it’s nearly impossible to thrive without integrating cloud computing. Embracing the cloud enables businesses to foster innovation, improve agility, and enhance customer satisfaction. As a result, migrating to the cloud becomes a transformative journey, allowing companies to implement cutting-edge innovations such as next-generation hosting applications and data platforms, essential for maintaining a competitive edge. This article explores how CIOs can navigate the cloud migration process and the transformative impact it has on ... Continue reading →

Can you tell us about your journey as CEO and co-founder of Corti? Corti was founded in 2016 in Copenhagen by Lars Maaløe and me. Lars, with his PhD in machine learning, and my experience as a multi-entrepreneur in AI from Scandinavia to Silicon Valley, has made for a solid partnership. We’ve always been driven by a belief in AI’s transformative potential for healthcare. We started Corti as a research company, with a bold thesis that Generative AI would become an integral part of every patient interaction in real time. At the time, this was a radical idea, but it has since proven to be viable. Initially, we focused on emergency medicine, assisting in detecting cardiac arrests and managing COVID-19 calls. Today, we are building the most reliable and effective Generative AI platform tailored to healthcare’s unique needs, scaling globally to enhance real-time consultations across healthcare and reducing the margin for error by up to 40%. How do recent strategic ... Continue reading →

As cyberattacks advance in their sophistication and frequency, traditional cybersecurity defenders-the firewalls, antivirus software, even intrusion detection systems-are no longer sufficient in protecting companies. Organizations are bound to face advanced persistent threats (APTs), ransomware, as well as insider attacks in 2024 that often go undetected by automated detection tools. This makes proactive cybersecurity a dire necessity. According to new research findings, the average amount of time taken before it is possible to detect a breach stands at more than 200 days, which is a very long window for cyberthieves to siphon sensitive data and cripple business operations. This mainly occurs in B2B organizations operating within the finance, healthcare, and technology sectors, as these sectors are mainly characterized by sophisticated attackers seeking high-value data. However, the only solution is in cyber threat hunting-a proactive security approach aimed at detecting threats ... Continue reading →