One of the major problems faced by large-scale businesses is the fragmentation of various business processes and create bad synergy and silos. AI technology integrated into enterprise resource planning solutions (ERP) will be able to take the fragmented working parts and combine them into a functioning whole by testing and analyzing each piece of information. This will consolidate employees, operations, and systems and, consequently, more efficiency, productivity, and revenue. The onset of advanced analytics using AI has facilitated finding the data patterns and then the usage of machine learning to discover insights. It helps companies better plan business operations and better understand their customers.

Simith Nambiar, Practice Lead, Emerging Tech, APJ, Rackspace Technology, tells us how businesses can overcome the challenges they experience with their Artificial Intelligence/Machine Learning efforts. As businesses continue to leverage cloud-based compute technologies, attention is on the explosion of new data, AI and Machine Learning (AI/ML). Through the powerful combination of new data and AI/ML technologies, organizations can deliver superior customer-centric experiences, allowing them to understand their business environment like never before, resulting in the ability to drive new levels of efficiency. In Singapore, the government has continued to invest in ambitious projects in key sectors to accelerate AI/ML adoption. For instance, through the National AI Program in Finance, financial institutions will soon leverage an AI platform to assess the environmental impact, identify emerging risks and enable financial institutions to make green investments.

Turns out, machines can bring more humanity to the conversations and interactions our brands are having every day. Leaders who are integrating AI's objective curiosity and performance speed with human creativity and problem-solving are finding new sources of insights and value that benefit their teams, their businesses, and most of all, their customers. An inescapable reality is that today's customers expect--not just want, but now demand--new heights of personalization. This is as true in b-to-b marketing as it is in b-to-c. And our news feeds remind us every day that the pressure is on marketers to deliver.

The cloud-based platform will provide data access and machine learning analytics capabilities for both academia and industry researchers.

Artificial intelligence is likely to emerge as the most transformative technological force of this decade--or maybe this century! From automated investments to gravitational wave detection in space, AI is breaking boundaries in many areas. For instance, an AI application built by Micron Technology allows the company to invest its funds and generate higher returns in the current low-interest-rate environment. There are many more such use cases of AI solutions emerging across industries. With tech gadgets dominating our lives, AI is gearing up for a more tech-driven future for businesses and consumers alike.

Moving forward, let's make our voices heard to make all AI solutions and platforms even more responsible, resilient, and trustworthy. Mark Minevich, principal founder of Going Global Ventures, is a digital cognitive strategist, artificial intelligence expert, and venture capitalist. Every nation that is serious about competing globally in the 21st Century needs recommendations and guidelines to deploy artificial intelligence (AI) in a way that gains acceptance from the public that is trustworthy. At the national level, however, AI strategies often do not reflect a robust understanding of the need for an integrated global approach. For AI to reach its true potential, and for countries across the globe to harness the maximum power of AI, there must be cooperation, an open dialogue, and open minds among leaders and visionaries to think beyond themselves and to what AI can do for all of humankind.

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Autonomous cars have been recently hitting the headlines and dominating tech-talks. They are seen as a post-Uber disruption to public commute and transportation of goods. Surely they are no figment of imagination in the age of artificial intelligence (AI), which is being used to complement driverless cars. Companies such as Waymo and Tesla are heavily invested in driverless cars. Currently, Waymo has begun testing of driverless cars again after stopping in 2017.

Autonomous cars have been recently hitting the headlines and dominating tech-talks. It's being seen as a post-Uber disruption to public commute and transportation of goods. It's surely not a figment of the imagination in the age of artificial intelligence (AI) which is being used to complement driverless cars. The combined might of AI and driverless technologies is a formidable force to reckon. The likes of Waymo, Tesla, etc. are heavily invested in driverless cars.

Brian Nord wants to build a self-driving telescope. The Fermilab astrophysicist envisions an instrument that, when presented with a hypothesis about the nature of the Universe, figures out the best observations to make on its own. He anticipates that it could take up to thirty years to understand and put together the project's nuts and bolts. One known component is artificial intelligence (AI)--algorithms similar to those that underpin facial recognition software and nascent self-driving car technology. Building toward his telescope dream, Nord has begun applying AI to problems in astronomy, such as identifying unusual astronomical objects known as gravitational lenses.