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Month: April 2022

Scaling Up Enterprises with AI and Cloud Computing

Scaling Up Enterprises with AI and Cloud Computing

Reading Time: 6 minutes read The next wave of cloud computing and innovation is being brought to the light of the world through Artificial Intelligence. In cloud technologies, AI provides intelligent automation and optimises the use of computer and network resources. AI and the cloud collaborate to make computers more human-like by allowing them to learn, behave, and react in the same way people do. Cloud-based services are used by AI to learn from and analyse past data in order to spot trends and make…

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Embracing the New Era in Manufacturing With AI and Big Data

Embracing the New Era in Manufacturing With AI and Big Data

Reading Time: 5 minutes read While the desire to digitally change manufacturing has been argued for over a decade, recent events have only enhanced demand for the agility, scalability, and resilience that Industry 4.0 and smart manufacturing capabilities can give. Industry 4.0 is transforming how companies produce, improve, and distribute their products. As the digital transformation advances, manufacturers will have access to an increasing number of new tools and business intelligence solutions, giving them a range of competitive advantages. By 2025, the global big data…

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Reimagining done right: Cognitive cities and why it’s possible to build one?

Reimagining done right: Cognitive cities and why it’s possible to build one?

Reading Time: 5 minutes read Cognition, in simple terms, is the process of learning and understanding through our senses, experience, and thoughts. A cognitive city is a city that constantly learns and unlearns the different behavior of its residents and environment and responds to their needs accordingly. The very existence of a smart city is to be a stepping stone in an evolutionary chain that gives birth to a cognitive city. While smart cities are efficient in their own way, a cognitive city simply sweeps…

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Being agile with Big Data: Overcoming major data preparation challenges and optimizing the pipeline

Being agile with Big Data: Overcoming major data preparation challenges and optimizing the pipeline

Reading Time: 5 minutes read Many big data analytics companies have seen an exponential growth in recent years and paved the way for upcoming generations to make use of it for their business. According to Statista, the global big data market has generated a revenue of $49 billion in size. Companies have begun to collect large amounts of data in preparation for digital transformation and are looking for data analytics experts. The report drawn from Big Data Analytics in the Retail Market from 2021 to…

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