AI, ML And DL: Unlocking The Jargons

Software complexity is one of the significant factors as they tend to have more intricate code paths, dependencies, and interactions which might need specialized testing techniques such as boundary value analysis, equivalence partitioning and combinatorial testing.

Banking and financial institutions have pioneered experimenting, failing, and adapting quickly to innovative technologies, leading to early adopters of generative AI technology.

Integrating RPA into healthcare enables organizations to achieve greater efficiency by automating tasks using predefined rules, structured data, and logic. Whether it's managing data, patient care, scheduling, or IT helpdesks, RPA tools enhance productivity, boost patient outcomes, and enhance employee satisfaction.

As we all know, Gen AI took the world by storm in 2023 with ChatGPT and other applications that can mimic human intelligence in novel creations. Though AI has been part of the operational culture for years in applications such as fraud detection, customer service bots, and risk management, the evolution of large language models opened the door for generative AI to penetrate various industries.

In the digital era, every organization produces a multitude of data in various formats. One of the challenges organizations experiences is capturing actionable insights from the raw data available from internal and external sources.

Legacy apps are software applications or systems that have been in use for a significant period and may be outdated in technology, design, or functionality.

Sometimes referred to as “smart automation” or “intelligent automation,” “RPA” is an umbrella term for advanced software systems that can be programmed to perform a series of tasks that previously required human intervention. Other robotic solutions incorporate machine learning and include cognitive computing and artificial intelligence.

Right from electronic health records, imaging and genomic data, wearables, pharmacies to patient portals and insurance systems, healthcare organizations generate a vast volume of data on a day-to-day basis

In today's fast-paced business landscape, digital transformation has sparked a rapid revolution in customer engagement with businesses.

With technology transforming finance, digital banking gains prominence for its unmatched convenience, accessibility, innovation, and cost-effectiveness, prompting a shift away from traditional methods.

we bring out the top enterprise cloud computing trends that promise to yield more significant digital dividends through its automation capabilities and enhanced performance and customer retention in 2024.

Cloud computing is reshaping the healthcare industry by setting up a scalable, collaborative, secure, and accessible medium for patients and healthcare organizations.

AI cloud computing refers to the combination of Artificial Intelligence and cloud computing infrastructure and services. Cloud computing involves the delivery of computing resources, such as processing power, storage, and applications, over the Internet on a pay-as-you-go basis.