Topic: data collection

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 pi...

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...

In today’s fast-paced business landscape, data is not just an asset; it’s a cornerstone of strategic decision-making. For B2B companies, leveraging data effectively can create significant competitive advantages, enabling them to understand their customers better, streamline operations, and drive innovation. This article explores the importance of a robust data strategy and how businesses can harness data to outpace their competition. The Value of a Strong Data Strategy in B2B Why Data is t...

The first fundamental of Artificial Intelligence is data, with the Machine Learning models that feed on the continuously growing collections of data of different types. However, as far as it is a very significant source of information, it can be fraught with problems such as privacy limitations, biases, and data scarcity. This is beneficial in removing the mentioned above hurdles to bring synthetic data as a revolutionary solution in the world of AI. What is Synthetic Data? Synthetic data ...

In an era where data is heralded as the new oil, there’s an inconvenient truth that many organizations are just beginning to confront: it is therefore important to realize that not all data is equal. With the increasing digitalization of the economy and an imperative to increasingly rely on data in products and services, the focus has been traditionally on the sheer amount of data that can be gathered to feed analytics, provide clients with personalized experiences, and inform strategic actions....

The business landscape has been transformed by over 75% in the past few years with the help of numerous technologies. One such marvel is augmented intelligence, which has emerged as a potent ally for human users, enhancing business capabilities by up to 60%. This technology represents a synergy between human expertise and machine learning (ML), redefining how human intelligence approaches problem-solving, decision-making, and innovation. Studies show that businesses utilizing augmented intellige...

As we have stepped into the digital world, data science is one of the most emerging technologies in the IT industry, as it aids in creating models that are trained on past data and are used to make data-driven decisions for the business. With time, IT companies can understand the importance of data literacy and security and are eager to hire data professionals who can help them develop strategies for data collection, analysis, and segregation. So learning the appropriate data science skills i...

During the holiday season, consumer expectations evolve at a breakneck speed, the constant change in algorithms is reshaping the digital terrain, and data has become the new gold. It can be a challenging task for Chief Marketing Officers (CMOs) to handle the upcoming turbulence in the ever-evolving business landscape. So, amid this turbulence, a powerful tool that emerges as an ally is artificial intelligence (AI). AI has taken center stage to understand and aid the demands of marketing leade...