Big data applications

Big data applications (38)

Recruiting Has Changed Because of AI  

Artificial intelligence (AI) is here, and it is here to stay. It is transforming every aspect of human life and business operations. Human resource and recruiting is an area that has not adopted technology like other industries in the past. However, its adoption in this area has characterized the readiness of this industry to change by taking advantage of technology. AI recruiting has increased and has subsequently enhanced the hiring processes of organizations that take advantage of it. Although this technology was not welcomed initially because experts believed that it would render HR personnel jobless, it has gradually proven that it will do more than just taking over jobs. Here are some ways in which recruiting has changed because of AI.


AI Is Making Cities Smarter

Cities worldwide are growing and the rising population is forcing them to reconfigure themselves for the purpose of sustainability in the future and enhancing the quality of life for every dweller.  This growth in population means taking advantage of renewable sources of energy, enhancing efficiency, and scaling up the use of electric transport modes. With the arrival of machine learning and artificial intelligence (AI), we are seeing new tools for ensuring efficiency in using resources around our cities. The growth of computing power in recent years, the availability of data, and the rise of effective algorithms have made AI one of the most valuable technologies in the 21st century in managing various aspects within cities.


Don't Get Caught in These AI Issues

Artificial Intelligence (AI) has become an important technology for many businesses in 2021, amid the problems caused by the coronavirus pandemic. Despite the economic downturn, more than 60% of the high-performing companies invested more in AI, signaling the dependence of AI in many organizations in the future. As companies fight to recover from the COVID-19, many are turning to AI as they look to strengthen their place in digital transformation. This technology can help businesses and the economy recover faster than anticipated but also come with a variety of risks. Here are some issues that you need to know about AI in 2021.


AI and Long Term Health after COVID

It is now over a year since the COVID-19 pandemic emerged, creating unimaginable disruption for the health and the economy. The pandemic has left many people jobless and many others dead as it ravaged industries and caused severe illnesses. For businesses that remain open, losses that have been incurred are like no other ever witnessed in history. Luckily, technology has played a critical role in slowing down the impact of the pandemic and seeking cures and vaccines for the virus.


Employ Machine Learning in Your Marketing Efforts

Artificial intelligence (AI) continues to advance in so many ways, and so is its ability to improve operations in different industries. Marketing is one of the areas that has benefited immensely from the advancement of AI. This technology improves various aspects of digital marketing, including strategizing and providing valuable insights needed by organizations to make critical decisions. With the realization that marketing strategies have become diverse than ever, companies are capitalizing on SEO, visual marketing, and now Artificial Intelligence.  Here are ways in which you can employ machine learning and artificial intelligence in your marketing efforts.


Delivering on the Promise of Artificial Intelligence

“We know how we want our companies to work.  Enterprises ought to be customer-focused, responsive, and digital.  They should deliver to each employee and customer exactly what they need, at the moment they need it.  The data and technology to do this are available now,” declares artificial intelligence expert Seth Earley.  Nonetheless, AI continues to stumble when it comes to making this a reality.  In his new book, THE AI-POWERED ENTERPRISE:  Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable (LifeTree Media/April 28, 2020), Earley provides practical approaches for solving the data management problems that are at the heart of this disconnect, showing how organizations can truly deliver on the promise of AI. 


Newer isn’t always better when it comes to Artificial Intelligence

What triggers buyer’s remorse? They say some people feel it within seconds of driving their brand new car off a lot. For me, it sets in as soon as the honeymoon period with my new flat-screen TV is over, and I realize I shouldn’t have fallen in love with the first one I laid eyes on. We’ve all felt it, but that doesn’t make it less painful.


AI Needs a Boost to Reach its Full Potential. RF Power is that Boost

AI has a problem. This problem lies not within the algorithms themselves, but in how they are fed. In order for real value to be generated and extracted from AI projects, the data fed to it from the IoT needs to be dependable, flexible, and scalable. As long as the IoT is powered by wires and batteries, the majority of these deployments will not be fully delivered. While our AI systems are quickly evolving in the sophistication and complexity needed to transform the buildings, vehicles, and cities of tomorrow, one question remains; how will power infrastructure support the promise?


AI May Face Regulations This Year

Artificial intelligence has been on a sharp rise in the past few years. Despite the advantages that this technology promises to offer, it has been subject to many concerns. Some people are worried about the implications of AI on privacy and humans in general. There are calls from human rights crusaders, politicians, and privacy activists to introduce strict regulations to govern this technology. In 2021, we expect government agencies and other players to increase their efforts to deal with AI's perceived and actual adverse effects.


Enterprise AI Predictions for 2021

As we head into 2021, artificial intelligence will increasingly touch every aspect of businesses from the recruitment process to supply chain to enterprise resource planning (ERP). Rick Rider, Vice President of Product Management at global ERP software company Infor, believes we’ll see three major trends in enterprise AI in 2021.


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