In today’s data-driven economy, organizations are increasingly recognizing the importance of effective data governance and management. Traditional data management methods have often fallen short due to inefficiencies and the sheer volume of information. Enter Artificial Intelligence (AI) and automation, which are transforming these processes and unlocking new potentials. This article explores how AI is revolutionizing data governance and management, addressing
The rise of artificial intelligence has brought remarkable advancements, but the latest development, agentic AI, promises to be a game-changer. Unlike its more familiar counterpart, generative AI (GenAI), which relies on user input to produce outputs, agentic AI is designed to autonomously complete assigned tasks without human intervention. This task-oriented AI could revolutionize various sectors, managing and executing processes independently,
In an era where data has become the backbone of strategic decision-making, companies are increasingly striving to utilize their data efficiently and effectively. SAP has taken a pioneering step by introducing SAP Business Data Cloud, a revolutionary solution designed to seamlessly unify SAP and third-party data for businesses. This innovative platform aims to provide a trusted data foundation that enhances
As businesses increasingly move critical operations to cloud environments, the need for advanced security measures has never been more apparent, especially in the face of growing cyber threats targeting these systems. Palo Alto Networks, a leader in global cybersecurity, has introduced Cortex® Cloud, the latest iteration of Prisma Cloud, merging cloud detection and response (CDR) with cloud-native application protection platform
The rapid evolution of cloud computing, data-driven architectures, and artificial intelligence (AI) continues to reshape the technology landscape and global business operations. These advancements empower businesses by enabling data-driven decision-making and supporting sophisticated AI tools. Drawing from Baskar Sikkayan’s 19 years of experience in large-scale distributed systems, automation, microservices, and advanced analytics, this article delves into the critical relationship between
As we delve into 2025, the quest to find the fastest CPU remains at the forefront for those building a new desktop or selecting a laptop. Selecting the optimal CPU not only ensures maximal performance but also involves carefully balancing speed, power consumption, and compatibility with other components. The competitive landscape features prominent brands like AMD, Intel, and Apple, each
In today’s interconnected economy, organizations rely heavily on global workforces to drive innovation and growth. To support such an employee base, they are turning to digital tools that facilitate continuous learning, skill-building, and career progression. However, scaling talent development platforms for global workforces involves addressing an extensive range of technical considerations to support a diverse, dispersed set of employees effectively.
The rapid adoption of AI by companies has led to an increased dependence on open source AI models hosted on repositories such as Hugging Face, TensorFlow Hub, and PyTorch Hub. While this trend has catalyzed innovation and accessibility, it has also introduced significant security risks. Malicious actors have capitalized on this opportunity, exploiting these platforms with growing sophistication. The following
Transformers have revolutionized the field of artificial intelligence (AI), becoming the backbone of many advanced AI applications. Introduced in 2017, this architecture has significantly impacted the development of large language models (LLMs) and various other AI technologies. This article delves into the mechanics of transformers, their historical development, and their pivotal role in modern AI. The Birth of Transformer Architecture
Nous Research, a relatively new player in the AI industry, has recently introduced its latest innovation, DeepHermes-3. This announcement follows a growing trend in the AI community towards developing reasoning-based models capable of producing coherent chains of thought (CoT). These models, which reflect on their own processes to correct potential errors before finalizing responses, have been made popular by advancements
Artificial Intelligence (AI) has evolved rapidly, transitioning from simple algorithms in video games to sophisticated agents capable of influencing human behavior. This transformation has raised significant concerns about AI’s potential to manipulate individuals, necessitating urgent regulatory intervention. The article delves into the evolution of AI, its current capabilities, and the pressing need for regulations to protect human autonomy and privacy.
DeepSeek, a growing name in the artificial intelligence industry, has recently been exploring the development of in-house AI chips to enhance its computational power. The company, which started as a side project but quickly evolved into a significant player with advanced language models, is now positioning itself to compete head-to-head with major AI organizations like OpenAI. According to reports from
