Techno-AI

AI Technology

AI is the ability of a machine to display human-like capabilities such as reasoning, learning, planning and creativity.

AI enables technical systems to perceive their environment, deal with what they perceive, solve problems and act to achieve a specific goal. The computer receives data - already prepared or gathered through its own sensors such as a camera - processes it and responds.

AI systems are capable of adapting their behaviour to a certain degree by analysing the effects of previous actions and working autonomously.

"With generative AI, we're entering a new era of human and machine interaction," says Marinela Profi, an AI marketing manager at SAS.

Generative AI learns from billions of data points and generates new content based on human prompts. Hear Profi discuss real-world examples of generative AI across industries, including use cases using large language models (LLMs), synthetic data generation and digital twins.

AI adds intelligence to existing products. Many products you already use will be improved with AI capabilities, much like Siri was added as a feature to a new generation of Apple products. Automation, conversational platforms, bots and smart machines can be combined with large amounts of data to improve many technologies. Upgrades at home and in the workplace, range from security intelligence and smart cams to investment analysis.

why AI is Important ..

Some AI technologies have been around for more than 50 years, but advances in computing power, the availability of enormous quantities of data and new algorithms have led to major AI breakthroughs in recent years.

Artificial intelligence is seen as central to the digital transformation of society and it has become.

Future applications are expected to bring about enormous changes, but AI is already present in our everyday lives.

Loading Companies ?

There are many benefits to using artificial intelligence for IT operations (AIOps). By infusing AI into IT operations, companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination.

AIOps is one of the fastest ways to boost ROI from digital transformation investments. Process automation is often centered on efforts to optimize spend, achieve greater operational efficiency and incorporate new and innovative technologies, which often translate into a better customer experience. More benefits from AI include building a more sustainable IT system and improving the continuous integration/continuous (CI/CD) delivery pipelines.