The integration of digital technologies with a data-driven approach is transforming the way businesses operate and the value they aim to generate. The use of digital technologies such as cloud computing, artificial intelligence, and machine learning is enabling businesses to collect and analyze large amounts of data in real-time. Data analytics is not a buzzword any more. Business leaders will agree that data analytics is more than just numbers. It is a culture, a thought process that aims to leverage business intelligence.

Businesses increasingly rely on artificial intelligence (AI) systems to make decisions that can significantly affect individual rights, human safety, and critical business operations. But how do these models derive their conclusions? What data do they use? And can we trust the results? Addressing these questions is the essence of "explainability," and getting it right is becoming essential.

Kevin Markarian is the cofounder of Roopler, an AI-driven lead generation platform built for the real estate industry. Artificial intelligence is rapidly upending how people do business across industries, and yet skeptics still abound. But is there really a reason to fear AI? AI will change how we work and do business, and its impact is already being felt. Still, that doesn't mean it is something to fear. On the contrary, business managers and leaders who embrace AI and harness its potential now have everything to gain.

Biopharma executives that pursue leapfrog digital innovation will be those best positioned in 2022 to gain an edge over the competition, according to the consultants behind that publication. To better understand the biopharma industry's experience with digital innovation now and in the year ahead, the Deloitte team surveyed 150 biopharma leaders and found that digital technologies such as the cloud (49%), AI (38%), data lakes (33%), and wearables (33%) have been adopted in day-to-day operations. Other technologies such as quantum computing and digital twins are still nascent. Some 82% of respondents agreed that digitalization of operations will continue even after the pandemic ends. Digital innovation is a burning strategic priority for biopharma leaders, found the Deloitte publication.

For companies to not fail and make the most of the machine learning models, it is important to lay a strong base in the first place. Checking on the data quality, recruiting the right talent, paying them well in combination with the management’s support can help achieve the desired results.

Yes, the world is seeing an advancement by virtue of technology. Implementing machine learning has aided in a lot of fields and made remarkable inventions as well. Seeing the progress companies have made because of machine learning (ML) has made almost every company to try its hands on the same and have miserably failed in it. What might have gone wrong here? Experts believe that the strategies implemented by the companies failed to work the way they were pictured to be.

By Abhishek Sahu Human resources and management have become an important defining factor for the success of any business in today's age. As businesses strive to become more competitive in the digital world, it has become extremely crucial to attract, onboard, and retain the right talent. However, finding the right talent can be one of the most daunting tasks for organisations across boards. This is because, as industry leaders say, with a plethora of opportunities in the market and the ease of access provided by the internet, candidates have an increased willingness to switch industries and roles. Emotion AI can help derive intelligent insights When CHROs are inundated with a pool of candidates, AI-driven capabilities, such as Emotion AI, can be integrated into the system to derive intelligent insights that help in better assessment of the skill sets and match them with the requirements of the business.

The present skills gap in the US is jeopardizing the country's long-term growth. Disruption has exploded the job demand; skill levels are constantly shooting up and the workforce doesn't have sufficient workers to fill in. In Dec 2018, 7million jobs were available for 6.3 million job seekers. While the country is almost bordering on full employment, its growth is muzzled in a time when it could have scooted in its fullest fury. Panorama on the global stage is equally grim.

In 1899, French artist Jean-Marc Côté was among a team of illustrators commissioned to create a series of drawings to commemorate the 1900 world's fair in Paris. The series, originally printed as inserts for cigar boxes (and then later reprinted, but never sold, as postcards - science fiction author Isaac Asimov reportedly owned the only surviving set) took the artists' best guess at how technology would change our lives by the advent of the 21st century. The subject matter of En L'An 2000 is, for the most part, spectacularly off the mark. Firefighters battle flames while flying through the air on bat wings, deep sea divers ride giant seahorses through the ocean and students have the contents of history books transferred directly into their brains via psychic helmets. Endearingly hopeful and bizarre, Côté and his fellow artists' work does betray just how hard it is to predict where the next wave of technological developments will take us.

NEW DELHI: The Artificial Intelligence or AI will not take away employment but the nature of opportunities would change in tandem with the industry 4.0 revolution and that would require potentially-skilled human resources, according to an AI expert. "AI is not going to take away jobs but the nature of the jobs will change as a part of industrial and technology revolution. In fact, more jobs are going to be created with AI that requires more capacity and potential workforce," Eightfold co-founder and chief executive Ashutosh Garg told ETTelecom. As many as 25% part-time employees in the United States fear that AI would take their jobs within next 10 years while in the United Kingdom, 67% are worried that AI could enable machines to do human work, according to recent findings. The manufacturing, retail, telemarketing, and data entry segments are most likely to shrink jobs due to AI expansion, according to a study sponsored by Genesys, while some analysts feel that AI is expected to create new hybrid roles in the manufacturing value chain.