AI

AI (72)

How A.I. Information Technology is Impacting Enterprise Networks

The U.S. Army, Social Security Administration, Department of Veterans Affairs, Blue Cross Blue Shield, The Brooklyn Hospital Center, universities from UCLA to NYU, and hundreds of major banking systems and offshore oil rigs all have the same secret weapon in their arsenal – a remote A.I. network wizard named Uplogix. 

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Ethical AI Starts with Good Data

Artificial Intelligence has the potential to greatly improve the human experience, from improving medical diagnoses to alleviating repetitive and banal tasks to helping tackle climate change. Today, we already see algorithms in use in recruitment, e-commerce, banking, and the military, just to name a few. However, just as any new technology that brings opportunities, AI also raises new questions. How do we make sure decisions made by AI aren’t biased towards some people? How do we prevent our networks being used for unethical AI applications? And how will AI impact jobs in the future?

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AI is learning to Fight Ransomware

As organizations, governments, and learning institutions struggle with the ransomware attacks, which are increasing by sophistication and number in the age of cryptocurrency, Artificial Intelligence (AI) is proving to be the potential technology to counter this menace. Many firms and agencies are turning to AI to hasten the process of detecting and stopping malware from spreading. The timing on the advancement of AI couldn’t have come at a better time. With the increase in cyberattacks over the recent years, most of which are perpetrated by state-sponsored actors, it is clear that new and better defenses are needed, and they are emerging. We have artificial intelligence to thank due to its potential to improve scanners and quickly determine suspicious files and viruses. 

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How Troubling is Artificial Intelligence?

Artificial Intelligence (AI) has been hailed as a revolutionary technology that will take the world to new heights. Experts claim that AI will revolutionize almost every industry and make human work easier, efficient, and less costly at the same time. Unlike the talks a decade ago where AI was just science fiction in Hollywood movies, this decade is becoming an era characterized by AI-driven automation and autonomous systems such as cars and other systems. With all these advantages, this technology is not without its drawbacks.

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Ethical AI is the Next In-Demand Gateway

Artificial intelligence (AI) is a major talking point in almost every industry in the world today. Many professionals have identified it as the main driver of innovations in robotics, big data, and the internet of things (IoT). As a critical component in the era of automation, connected mobility, and innovation in agriculture, logistics, and aerospace, to mention but a few, the global AI market is expected to reach $190 billion by 2025.  As such, AI is a technology that must be on everyone’s radar in 2021 as it will continue impacting different industries in the foreseeable future. Here are some trends in ethical AI that will shape 2021.

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Overcoming Bias in Data: The Great Challenge for AI

Artificial Intelligence (AI) is a powerful tool and its growing capabilities can be used to tackle an immense number of problems across all industries, from cybersecurity to manufacturing to healthcare. But while AI is profoundly changing the way businesses operate, concern is mounting around the inherent biases that the technology can amplify. And for good reason; today, we still see new issues with biased AI emerging, which suggests that too many organizations are still experimenting with AI without an adequate focus on ethics and potential biases.

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Watch for These Developments This Year

Even before the coronavirus pandemic, artificial intelligence (AI) was already growing at a fast rate. For instance, IDC predicted in 2019 that the spending on AI technologies would grow three-fold by 2023. With the coronavirus pandemic, the potential of this technology in healthcare and other industries has become apparent. In just about six months of 2020, a rapid digital transformation saw companies shifting and adopting different digital technologies, including AI, in a short time. Even after the pandemic, this is not likely to stop, mainly because AI has proven to reduce the cost of operations and accelerate service delivery.

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Practical Guidance For Implementing Transformative AI Solutions

“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. 

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How can businesses turn the tide on the AI diversity crisis?

For quite some time now, pressure has been mounting in the AI industry for tech companies and big conglomerates to wrestle control over its diversity crisis. From home assistants that can remind us to do chores and look up information on demand, to customer service chatbots that take care of queries and complaints, we are increasingly relying on technologies that use AI to assist in our daily lives. In the months and years to come, the reach of these technologies is likely to extend even further, and as such the conversation around their ethics has recently come to something of a crescendo.

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These Are Top Issues for AI in 2021

Artificial intelligence (AI) is impacting the future of almost every industry in the world today. It has been pitched as the main driver of other technologies such as robotics, Internet of Things, big data and business process automation. Going into 2021, AI will continue to be a fulcrum of technological innovation and will be so for foreseeable future. The next few years will see an unprecedented fast development and adoption of emerging technologies driven by AI. To prepare industries on what awaits them, here are some top issues for AI in 2021.

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