In a constantly evolving cybersecurity ecosystem, artificial intelligence has become an inevitable technology. Integrating AI into the cybersecurity tech stack has helped businesses automate the crucial processes of detecting, evaluating, and proactively responding to cybersecurity threats by adopting machine learning and cutting-edge AI applications. The advanced algorithms of these...
Generative AI has become the apple of the eye for users across the globe. Its popularity and surge in adoption globally are quite revolutionary and alarming at the same time. A report by Gartner predicts that by 2025, nearly 75% of the resources will use AI to enhance efficiency...
From medical diagnosis to creating an itinerary for a vacation, from finding solutions to fight climate change to drafting a cover letter for job applications, the use cases of artificial intelligence (AI) are growing at a rapid scale. Generative AI since its inception has become the buzzword. However, whatever...
In today's data-driven world, where data analytics lies at the heart of the success of modern enterprises. Data analytics enables organizations to make better decisions by detecting patterns and trends in real-time. It needs ingesting, saving, processing, and absorbing massive amounts of data that traditionally need intricate and huge-scale...
As organizations are exploring opportunities to integrate more artificial intelligence (AI) tools in their enterprise tech stack, their processes can be fragmented and siloed. It results in an operation nightmare, which can have negative consequences on the business.
The true potential of AI lies in its capability to work cohesively...
Recently Deloitte introduced a robust generative solution referred to as AI Factory as a Service. Deloitte has developed the solution in collaboration with NVIDIA and Oracle. When any new out-of-the-box service emerges in the market, there will be hype for that type of IT solution. As there is a...
Deep learning is one of the effective approaches to train computers to execute tasks that come naturally to humans. Deep learning algorithms have various applications across different sectors. For example, these models are utilized for developing driverless cars. Deep learning algorithms use neural decoding to identify a stop sign...
Irrespective of the type, industry, or sector of the organization, decision-makers are seeking opportunities to embrace artificial intelligence (AI) in their enterprise tech stack to improve their operations. AI servers are playing a pivotal role for organizations that want to integrate AI applications into their IT infrastructure without having...
McKinsey's global report found that the AI adoption rate jumped to 72% in 2024. Recent forecasts suggest that AI-focused stocks could surpass NVIDIA in 3 years. This is a massive for artificial intelligence.
People are turning to AI to tackle everything from major, complex challenges to everyday tasks like writing...
There is a tremendous surge in the use of artificial intelligence (AI) and machine learning (ML). Intellectual property (IP) plays a significant role in the regulation of the utilization of AI and in protecting the inventors' and creators' rights.
Businesses globally are heavily investing in AI and ML applications for...
