AI Function- It’s hard to miss all the attention and hype artificial intelligence (AI) is getting these days. Everywhere you turn there are articles on a myriad of AI-related topics, such as deep learning, machine learning, cognitive computing, computer vision and natural language processing (NLP). These terms are frequently used interchangeably despite meaning very different things — a sign that many people still don’t understand this field. Every conference or event is now an “AI Summit.” More startups are now “AI-based.” And analysts consistently publish new AI statistics that further fuel the hype. Have we reached an all-time high AI saturation point? What happens if AI doesn’t live up to all this hype? Is it possible that more businesses are now becoming AI-powered businesses? And if so, how did this happen? AI Is Everywhere The reality is AI is now everywhere. In some ways, it’s been a logical progression. The eras of big data and cloud have finally converged, creating a significant paradigm shift that has enabled AI to become practical and accessible to both consumers and businesses. The volumes of data that have amassed now have purpose in training sophisticated deep learning models. The cloud provides access to scalable, parallel processing at low cost, enabling cloud vendors to create machine learning algorithms and deploy an artificial intelligence as a service (AIaaS) model. AI is rapidly becoming a utility function much like electricity and water. I challenge you to do something today that does not leverage AI and machine learning. Watching your favorite show on Netflix, Hulu or Amazon Video? Machine learning powers their recommendation engines. Speaking to your Siri, Alexa or Cortana assistant? That’s NLP translating your voice to action. Driving your car and using Waze or Google Maps? Machine learning algorithms are analyzing real-time traffic data to suggest the best routes. Using a ride-sharing app like Uber or Lyft? Machine learning is determining the wait time and pricing. Use a financial platform like Betterment or Wealthfront? The robo-advisor algorithms automatically rebalance portfolios to increase returns. Getting fraud alerts on your mobile phone? Machine learning algorithms are detecting unusual spending patterns. The understanding that AI is here and now is elusive to many who believe it’s science fiction. But consumers use it more than they realize. While only 34% think they use AI-enabled technology, 84% actually use an AI-powered service or device, according to a 2017 study by Pegasystems Inc. Share this:The post Has AI Become A Utility Function? appeared first on Statii News. from http://news.statii.co.uk/has-ai-become-a-utility-function/
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AI banking- Over the past 12 months, the banking industry has become increasingly excited about AI. Virtually every leading consultancy has published research on the impact AI will have on the sector and investment continues to pour into developing innovative solutions. But, alongside all the buzz comes the inevitable concern that the implementation of this technology will reduce the need for actual human workers. The notion here is simple – if a bank can automate a process then surely they don’t need a human to do it. The answer is not as simple, although these sorts of claims are not entirely unfounded. Over the past decade, the digitalization of customer services has led to a decline in the need for front-of-house staff in banks and the subsequent closure of many branches. Similarly, one of the primary areas where banks are implementing new AI solutions is customer services. Several tier one institutions have developed AI-powered chatbots and virtual assistants. J.P. Morgan uses AI to answer customers’ questions and anticipate what their future needs are likely to be, while UBS’s virtual assistant is powered by Amazon Alexa. These products are the ones that are most likely to replace jobs. The more that these products are used, the more they learn, which means that they exponentially improve in their capacity to assist customers without requiring human involvement. Aside from chatbots and Robotic Process Automation (RPA), which uses similar technology to automate simple administrative tasks such as inputting customer information, the way that banks are currently using AI is not a considerable threat to their employees’ jobs. A priority for several top-tier banks has been to use AI systems for detecting fraudulent activity or money laundering. This has been particularly successful, having dramatically reduced the time that investigators spent on false positive leads. In these instances, rather than reducing the need for human input, the AI-powered systems have alleviated time pressures on existing investigators and afforded them the time to investigate each case in more detail. Otherwise, the areas of interest to banks in terms of AI varies considerably from one to the next. Some are focusing on using the technology within algorithmic trading, while others are developing solutions that can offer tailored products to each customer depending on their own circumstances. The crucial point here is that these projects are very much still in development and are yet to be deployed extensively. Share this:The post Is Artificial Intelligence Replacing Jobs In Banking? appeared first on Statii News. from http://news.statii.co.uk/is-artificial-intelligence-replacing-jobs-in-banking/ Artificial Intelligence Machine- Understanding how artificial intelligence (AI) and machine learning (ML) can benefit your business may seem like a daunting task. But there is a myriad of applications for these technologies that you can implement to make your life easier. Through AI and ML, your business will benefit as it becomes more efficient at its operations and eliminates those mundane tasks that seem to be slowing you down. Additionally, AI-powered tools and automated systems can help your company improve the use of its resources, with visible effects on your bottom line. Fifteen members of Forbes Technology Council discuss some of the latest applications they’ve found for AI/ML at their companies. Here’s what they had to say: 1. Powering Infrastructure, Solutions and Services We’re leveraging AI/ML in our collaboration solutions, security, services and network infrastructure. For example, we recently acquired an AI platform to build conversational interfaces to power the next generation of chat and voice assistants. We’re also adding AI/ML to new IT services and security, as well as hyper-converged infrastructure to balance the workloads of computing systems. – Maciej Kranz, Cisco Systems 2. Cybersecurity Defense In addition to traditional security measures, we have adopted AI to assist with cybersecurity defense. The AI system constantly analyzes our network packets and maps out what is normal traffic. It is aware of over 102,000 patterns on our network. The AI wins over traditional firewall rules or AV data in that it works automatically without prior signature knowledge to find anomalies. – John Sanborn, RAA – Financial Advisors 3. Health Care Benefits We are exploring AI/ML technology for health care. It can help doctors with diagnoses and tell when patients are deteriorating so medical intervention can occur sooner before the patient needs hospitalization. It’s a win-win for the healthcare industry, saving costs for both the hospitals and patients. The precision of machine learning can also detect diseases such as cancer sooner, thus saving lives. – Adam Bayaa, Heal Share this:The post 15 Business Applications For Artificial Intelligence And Machine Learning appeared first on Statii News. from http://news.statii.co.uk/15-business-applications-for-artificial-intelligence-and-machine-learning/ AI Scientist- Facebook’s chief artificial intelligence scientist Yann LeCun says that Elon Musk is “nuts” to call for regulation on AI at this relatively early stage in its development. While there have been a number of important AI breakthroughs in the last few years, AI is still fairly nascent. Try having an in-depth conversation with Siri and you’ll soon see. The most sophisticated AI agents can excel at certain narrow tasks, such as games, but they lack common sense and the ability to learn across multiple domains. Yet Musk has repeatedly warned that AI could spell the end of humanity, saying he thinks the technology has the potential to be more dangerous than nuclear weapons and that it may even spark a third world war. He believes AI should be regulated now before it becomes a danger to all of us. Asked about Musk calling for AI regulation at Facebook’s New York office last week, LeCun said: “That’s nuts.” Last year, Facebook CEO Mark Zuckerberg also said Musk’s warnings about AI were “pretty irresponsible”. Musk responded by saying that Zuckerberg’s “understanding of the subject is limited.” While LeCun has his concerns about AI, he said Musk is overreacting. “He talked to some people who were a little more optimistic in the business that human-level AI was just around the corner.” Five years ago, these people were saying human-level AI was five to 10 years away, LeCun said. “Most of us who knew what we were doing knew that was just not going to happen that fast.” “He [Musk] got a little panicky. I think it’s partly because he talked to some of the slightly more dreamer people at DeepMind who have since become much more…it was before they confronted themselves with the realities of AI. It’s much harder than they thought. “Then he [Musk] read Nick Bostrom’s book [“Superintelligence”] and put one or two together and said you know, ‘we’re doomed’. He also likes the idea that he’s going to save humanity, right? So that was kind of a perfect.” Musk was one of the first investors in the DeepMind AI lab, which was acquired by Google for a reported £400 million in 2014. Musk set up his own $1 billion AI lab called OpenAI in December 2015 with Y Combinator president Sam Altman. “That didn’t make any sense because, you know, ‘I’m going to save humanity from building AI by actually building AI faster than Google and Facebook,” said LeCun. “I don’t know.” Musk is no longer a member of the OpenAI board. Share this:The post Elon Musk ‘Nuts’ To Call For AI Regulation, Says Facebook’s Chief AI Scientist appeared first on Statii News. from http://news.statii.co.uk/elon-musk-nuts-to-call-for-ai-regulation-says-facebooks-chief-ai-scientist/ 21 Lessons for the 21st Century Summary – In an era of relentless change and uncertain futures, governments and individuals alike are grappling with technological, political and social issues unique to the twenty-first century. How should we respond to modern-day phenomena, such as frighteningly intelligent computers, globalization, and the fake news epidemic? And what about the threat of terrorism – should we take action or take a deep breath and relax? In this article, you’ll discover the answer to all these questions and more. You’ll learn how to futureproof your children by changing your approach to education, what robots and automation mean for the future of white-collar work and why the question of immigration is threatening to destroy twenty-first-century Europe. Author Yuval Noah Harari has formulated some important lessons to help us deal with these fascinating times. These blinks seek to highlight the six most crucial ones. In this article, you’ll also find out
Throughout the twentieth century, three distinct political ideologies vied for world supremacy – communism, fascism and liberalism. Fast-forward to the late twentieth century and liberalism, which celebrates democracy, free enterprise and individual freedoms, was the clear winner. But how will the West’s liberal-democratic system cope in the twenty-first century? From the 1990s onward, computer technology has arguably transformed our world more than any other force. But despite its massive impact, most politicians seem hardly able to comprehend this new innovation and are even less capable of controlling it. Just consider the world of finance. Computers have already made our financial system fiendishly complicated – so much so, that very few humans are now able to understand how it works. As the twenty-first century continues and artificial intelligence advances, we may reach a stage where no human will be able to make any sense of financial data. The implications of this scenario for our political process are disturbing. Just imagine a future where governments have to patiently wait for algorithms to give them the green light on their budget or their tax-reform plans. Unfortunately, for many twenty-first-century politicians, technological disruption isn’t at the top of the agenda. For instance, during the 2016 American presidential election, neither Donald Trump nor Hillary Clinton discussed the implications of…….. To Read 21 Lessons for the 21st Century Summary completely sign up to Blinkist for free (Click here) Ever read 4 books in one day?The post 21 Lessons for the 21st Century Summary | Yuval Noah Harari appeared first on Statii News. from http://news.statii.co.uk/21-lessons-for-the-21st-century-summary-yuval-noah-harari/ Artificial intelligence is often confused with automation, but they are separate and distinct solutions to a common problemCybersecurity is changing- Automation is changing the way that businesses operate. From the factory floor to back-end IT, automated services and machines are increasing speed and productivity while freeing workers up to focus on more skilled tasks. ‘Automation’ is often used synonymously with ‘artificial intelligence’, but although automated machines can use AI, they are very different. Automation is rule-based: ‘If A, then B’. AI, on the other hand, is trained to learn, develop and grow using the data it is given. An AI system is constantly in a state of change. That means that artificial intelligence is a great fit for cyber security, where malicious actors are continuously developing new attacks. The old signature-based style of defence is no longer enough to protect companies’ crown jewels: their data. “Cyber-attackers are growing faster and more sophisticated by the day,” said Andrew Tsonchev, director of technology at Darktrace Industrial, the branch of the company that uses AI to secure industrial systems and critical national infrastructure. “Organisations are facing everything from lightning-speed ransomware to stealthy ‘unknown unknowns’ that bypass traditional perimeter defences to silently carry out espionage over long periods of time. Human defenders simply cannot keep up with modern threats, especially as they manage increasingly complex networks.” Ron Davidson, CTO of Skybox Security, said: “Signature-based systems are built around the concept of recognising and blocking the exploit and may require a new signature for each variant. The signature-based system doesn’t fix the underlying weakness, though it could shield it for a while.” He added: “Organisations using traditional methods to deal with their own massive volumes of vulnerability occurrences will only see problems compound.” Several companies are now automating their security with the help of firms like Skybox, while others are working in the more advanced realms of AI. Darktrace is the leading organisation pushing this development in security and has the most widely deployed enterprise AI; its award-winning Enterprise Immune System defends against new threats and, like the human immune system, operates without prior knowledge or signatures. The post AI is changing cybersecurity, but it’s not a catch-all solution appeared first on Statii News. from http://news.statii.co.uk/ai-is-changing-cybersecurity-but-its-not-a-catch-all-solution/ Cyber security UK- In association with University Technical Colleges (UTCs) across England, Fujitsu announced the launch of the University Technical College (UTC) Cyber Security Group, today. The partnership aims to prepare students aged 14-19 for the cyber security jobs market. With the cooperation of various Security and Private Sector organisations, the group hopes to bridge the security resource and skills gap that organisations currently face. Fujitsu is aiming to equip a minimum of 500 students a year with the right cyber skills to be able to hit the ground running when they start employment, and to better prepare those moving into Higher Education. “In a world of connected devices, and increasingly AI and machine learning, the security landscape is seeing exponential growth with attack techniques and sectors changing at an alarming rate. In light of recent attacks it is especially important that we do more to help the next generation of students better understand the positive impact that cybersecurity knowledge can have on their lives and future careers,” said Rob Norris, Vice President of Enterprise and Cyber Security, Fujitsu. “As we fast progress towards a ‘digital first’ nation, we need to ensure we are investing at the very beginning of the digital journey and developing the right skills to support the future digital economy.” A recent Tripwire study found that 93% of security professionals are worried about the skills gap in cyber security, while 72% believe it is more difficult to hire skilled security staff to defend against today’s complex cyber attacks compared to a few years ago. The changing face of cyber security has changed the fundamental skills needed Mike Halliday, Business Relations Manager for UTC Reading, UTC Swindon, and UTC Heathrow, said: “While UTCs are attracting more and more ‘academic’ students, our real strength is in offering a learning journey that allows students to experience a practical education that prepares them for the world of work. Historically students may not have considered entering a cybersecurity profession, often meaning they missed out on a career that they could be good at, and one in which they’d find purpose and fulfilment.” Share this:The post Fujitsu sets up cyber security college in the UK appeared first on Statii News. from http://news.statii.co.uk/fujitsu-sets-up-cyber-security-college-in-the-uk/ Teaching Cybersecurity- Smart leaders know that their entire team needs to be well-educated on the importance and best practices of cybersecurity if they hope to protect their data. Unfortunately, this is easier said than done, especially when it comes to training your non-tech employees. Using too much jargon and technical terms will only disengage them, leaving them less prepared and less vigilant. While you don’t necessarily need to “dumb down” cybersecurity training for non-techies, you do need to present the information in a way that’s relatable and easy to understand. Here’s how the members of Forbes Technology Council recommend approaching this task. 1. Explain The Business Benefits Of Secure Data Traditionally teams have been educated on security using fear, uncertainty and doubt. Cybersecurity in today’s world is best executed inline, which means that every function, role and team member is responsible for protecting the business. So, the best way to educate the team is by explaining how cybersecurity can be a business enabler. – Sameer Shelke, aujas.com 2. Use Metaphors And Analogies That Apply To Them I use metaphors and analogies. In healthcare I talk about the immune system; in manufacturing, I talk about an organic assembly line, etc. Make the conversation clear and relevant to the audience in an area they are familiar with. – Sultan Meghji, Virtova 3. Personalize Your Training By Department Education programs aimed at specific roles and users have the highest impact. Developers learn differently than marketers, sales different than support. Providing an easy to consume, targeted training that regularly maps cybersecurity issues to someone’s role and KPIs have always worked best. Once you demonstrate how cybersecurity can enable and augment someone’s job, engagement will follow. – Jacek Materna, www.assembla.com 4. Highlight The Positive Progress In a monthly newsletter, we give employees a report card of progress ensuring to call out the positive improvements that have been made since the last update. Real life examples and metrics as well as simulation results and “How To Avoid…” tips also help make the newsletter more of a consumable read for the non-tech employee. – Stephanie Roberts, Sunrun 5. Stick To The Basics And Practical Aspects There is no point in going into the technical ways cybersecurity works. We focus on what to look for in terms of suspicious activity. We use simple language and hands-on practice to show employees why the security we have works. – Chalmers Brown, Due Share this:The post 10 Tactics For Teaching Cybersecurity Best Practices To Your Whole Company appeared first on Statii News. from http://news.statii.co.uk/10-tactics-for-teaching-cybersecurity-best-practices-to-your-whole-company/ Cybersecurity Darktrace- cybersecurity business Darktrace has raised $50m (£38m) in new funding, bringing the company’s valuation to $1.65bn, up from a valuation of $1.25bn in May. Darktrace uses artificial intelligence software to automatically detect cyber threats to customers’ networks. The business says its Antigena product can respond automatically to cybersecurity problems within two seconds. Clients include Gatwick Airport and US insurer AIG. The new investment into the business comes mainly from Vitruvian Partners, the London-headquartered private equity firm which has also backed Farfetch, the fashion marketplace, and food delivery business Just Eat. Other funding comes from existing investors KKR and 1011 Ventures. Poppy Gustafsson, one of Darktrace’s two chief executives, said that the funding would go towards international expansion and hiring globally. Darktrace was founded in Cambridge in 2013 by a group of university scientists and cybersecurity experts. The business continues to maintain an office in Cambridge, but has also expanded to 30 offices and more than 750 employees. Ms Gustafsson said that Cambridge “is the core of our organisation and will continue to be very important to us”, even as the business expands overseas. “We’ll be having many new hires in both Cambridge and London,” she said. Many former employees of the security services are involved in the business. The company’s director of technology, Dave Palmer, previously worked at MI5 and GCHQ. The company’s board includes former MI5 director general Lord Evans and Alan Wade, the former chief information officer of the US Central Intelligence Agency. The business’ most recent accounts showed that losses more than doubled as the company went on a hiring spree. The filings also showed that annual sales had increased from £17.1m to £30.8m. One of the company’s most prominent backers is Invoke Capital, the venture capital fund run by Autonomy founder Mike Lynch. Mr Lynch set up his investment fund after selling his software business Autonomy to Hewlett Packard in 2011. Hewlett Packard eventually wrote down much of the cost of the acquisition and accused Mr Lynch of fraud. A lawsuit brought against Mr Lynch by HP in the UK has been delayed to next year. Share this:The post Cybersecurity start-up Darktrace raises $50 million appeared first on Statii News. from http://news.statii.co.uk/cybersecurity-start-up-darktrace-raises-50-million/
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