How can your company capitalize on this dynamic technology? This program views the technical elements of machine learning through the lens of business and management, and equips you with the relevant knowledge to discover opportunities to drive innovation and efficiency in your organization. Although you can expect to explore technical aspects of machine learning, the focus is on empowering you, as a business leader, to ask the right questions about whether machine learning applications will benefit a particular business problem, or make your organization more efficient. Through a mix of research insights reinforced by case examples, you'll have the opportunity to critically apply your learning. You'll learn to identify the realistic opportunities of this transformative technology as you develop an implementation plan for machine learning in a business of your choice.

Some industry experts argue that machine learning (ML) will reverse an increasing trend toward passive investment funds. But although ML offers new tools that could help active investors outperform the indexes, it is unclear whether it will deliver a sustainable business model for active asset managers. Let's start with the positives A form of artificial intelligence, ML enables powerful algorithms to analyze large data sets in order make predictions against defined goals. Instead of precisely following instructions coded by humans, these algorithms self-adjust through a process of trial and error to produce increasingly more accurate prescriptions as more data comes in. ML is particularly adaptable to securities investing because the insights it garners can be acted on quickly and efficiently.

In the service of business, of society at large, artificial intelligence (AI) can be effective. Can it also be ethical? The wisdom of crowds, gleaned from social media, can paint a gestalt picture of how a government agency's, bank's or retailer's efforts are being received on the ground, so to speak. And it can also (perhaps), fed through models and analytics, can bolster decision-making for the greater, common good. Public opinion matters, after all, but across the social media platforms, the chatrooms -- the chatbots, even -- making sense of qualitative data is a challenge for most enterprises.

In 2019, 53% of global data and analysis established by decision-makers announced that artificial intelligence is established, or in full development within their company. Here are the artificial intelligence forecasts for 2020. It is important to note that these findings are taken from statistics revealing percentages calculated from the observation of Fortune 500 companies. The Fortune 500 companies are recognized as the most profitable in the United States. The study shows finding that 29% of developers have worked on AI and machine learning in recent years. The findings have come from a Forrester study.

With a tank-like continuous track and an angular arm reminiscent of the Pixar lamp, the lightweight PackBot robot was designed to seek out, defuse and dispose of the improvised explosive devices, or IEDs, that killed and injured thousands of coalition soldiers during the wars in Iraq and Afghanistan. Bomb disposal was and is highly dangerous work, but the robot could take on the riskiest parts while its human team controlled it remotely from a safer distance. US Army explosive ordinance disposal technician Phillip Herndon was assigned a PackBot during his first tour in Iraq. Herndon's team named their robot Duncan, after a mission when the robot glitched and began spinning in circles, or doughnuts (doughnuts led to Dunkin Donuts, hence Duncan). His fellow bomb disposal techs named theirs too, and snapped photos of themselves next to robots holding Xbox controllers, dressed in improvised costumes or posing with a drink in their claws.

New York is the most talented city in the world, according to our Global Talent Competitiveness Index 2020. London took second place and Singapore third. What makes these places so attractive to workers and are they ready for the Future of Work? A different workforce will be needed in the future as automation, machine learning and AI tech start to reach all corners of the employment market. As well as a places ability to grow, attract and retain talent, this year's GTCI report took into account a city's affinity for new tech to measure how prepared they are for the changing digital work environment.

The market for conversational AI is expected to grow to more than $15 billion by 2024, from $4.2 billion in 2019. And for good reason -- the technology is helping enterprises find new value and capabilities. In the enterprise, businesses are leveraging conversational AI for both customer-facing and internal use. According to IBM, companies spend $1.3 trillion to answer 265 billion customer service calls each year -- but deploying smart AI to address the most routine cases can cut costs by 30% and lower call center employee attrition. Thus the call center is a natural priority for deploying conversational AI, although that's far from the only use case.

Artificial intelligence (AI) is "completely living up to its expected hype and hysteria," with 70% of daily digital interactions being AI-based, and businesses generating multimillion-dollar revenue streams from it. This was the word from Mike Bugembe, founder of UK-based AI consultancy, Lens.ai, delivering a keynote at the ITWeb Business Intelligence Summit 2020, in Johannesburg, today. Bugembe is a bestselling author, international speaker and executive advisor, helping organisations use data and AI to transform their businesses and grow. Discussing the importance of an AI strategy to gain business value, Bugembe noted that companies across the globe are ramping up investments in AI-related technologies and gaining multimillion-dollar-revenue streams, cutting costs, managing risk, improving operations, and finding innovative ways to develop products and strengthen customer intimacy. However, he warned that without an intelligent roadmap, companies risk focusing on the wrong opportunities, resulting in failure to tap into the true promise of AI. "Business and technology experts believe AI will be the most significant technological revolution that businesses have ever experienced," said Bugembe.

BLISS Team Educational Services, Bred Hub, has called on the Federal Government to introduce Artificial Intelligence in school curriculum as part of measures to prepare this generation for the future. Speaking ahead of train-the-trainer programme in Lagos, the General Manager, Bliss Team Educational Services, Christian Chime, said that government must champion the initiative that would introduce children and youths to the world of innovation through the teaching of Robotics, Artificial Intelligence, Coding and Science, Technology, Engineering and Mathematics (STEM) education. Chime noted that in the nearest future, the world would expect AI/Robotics to be a way of life and would play great roles in human existence on earth; adding: "Whoever leads in Artificial intelligence in 2030 will rule the world until 2100. We want this skill to be part of school curriculum, we want every student to be able to build and programme robotics. Irrespective of what a child wants to become, he or she needs to understand how to use technology because it is taking over every industry it makes process faster in whatever industry they are going to find themselves. "Bred Hub in partnership with UBTECH is organizing an interactive Artificial Intelligence and Robotics training for teachers and educators so that they can educate their students.

Current vision algorithms are largely designed for use in clear conditions, deep learning using convoluted neural networks is now being harnessed to improve visual performance in adverse weather. Capturing high-quality photos is easier than ever, as filters and image-adjustment tools can enhance images. Yet cameras still struggle to provide a clear image in bad weather, especially in extreme conditions such as heavy rain, fog, or poor lighting at night. Objects in a scene can become hard to see or even invisible, especially when they are far from the lens, and colors are often dulled. "In rain and snow, you also have motion blur because they are moving," says Dengxin Dai, a computer vision lecturer at ETH Zurich in Switzerland who coordinated a workshop on all-weather vision at the Conference for Computer Vision and Pattern Recognition (CVPR 2019) in Long Beach, CA. "So the geometry of an object might also get distorted."