business


Artificial Intelligence: Everything You Want to Know

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By the end of this 10-minute read, you will hopefully have a comprehensive overview of Artificial Intelligence (AI). We'll try our best to give you straightforward and relatable answers on this quite heavy subject. After defining AI and its subfields, we will have a look into the brief history, current use cases, most common fears, and mind-boggling predictions for the future. We encourage you to dig deeper into the 10 great resources we have listed for you at the end of this article. ARTIFICIAL INTELLIGENCE HAS BECOME THE NEW BUZZWORD leaving IoT, Big Data, Automation, Augmented Reality and Virtual Reality in shade.


ODSC East 2018 Open Data Science Conference

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ODSC East 2018 is one of the largest applied data science conferences in the world. Our speakers include some of the core contributors to many open source tools, libraries, and languages. Attend ODSC East 2018 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field. See schedule for many more.. The largest applied data science conference is now 4 days including 2 full training days for even more talks, trainings, and workshops vested in 8 focused courses.


Visualizing the Massive $15.7 Trillion Impact of AI

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For the people most immersed in the tech sector, it's hard to think of a more controversial topic than the ultimate impact of artificial intelligence (AI) on society. By eventually empowering machines with a level of superintelligence, there are many different possible outcomes ranging from Kurzweil's technological singularity to the more dire predictions popularized by Elon Musk. Despite this wide gap in potential outcomes, most technologists do agree on one thing: AI will have a profound impact on the society and the way we do business. Today's infographic comes from the Extraordinary Future 2017, a new conference in Vancouver, BC that focuses on emerging technologies such as AI, autonomous vehicles, fintech, and blockchain tech. In the below infographic, we look recent projections from PwC and Accenture regarding AI's economic impact, as well as the industries and countries that will be the most profoundly affected.


Why AI Could Be Entering a Golden Age - Knowledge@Wharton

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The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough -- deep learning, where data structures are set up like the brain's neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before. Frank Chen, a partner specializing in AI at top venture capital firm Andreessen Horowitz, makes a case that AI could be entering a golden age.


This Is Why All Companies Need An AI Strategy Today

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Any AI effort will rely on three main building blocks: data, infrastructure, and talent. The following is a guest post by Rita C. Waite, a Growth Strategy & Investments Manager at Juniper Networks. Artificial Intelligence (AI) is fundamentally changing how businesses operate across all sectors, including manufacturing, healthcare, IT, and transportation. Advancements in AI over the last decade are presenting opportunities for companies to automate business processes, transform customer experiences, and differentiate products offerings. AI pioneers like Google and Amazon, who have adopted these new technologies to create a growing competitive advantage, have already witnessed bottom-line benefits from their AI strategies.


Unpredictions – what won't happen with artificial intelligence (Includes interview and first-hand account)

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Artificial intelligence and machine learning are two of the key tools for the digital transformation of many businesses. From Amazon Alexa to autonomous vehicles, artificial intelligence is progressing at a very fast rate. However, there remain many technological limitations in terms of what machine intelligence technology can deliver in the short-term. The company Conversica is a leader in conversational artificial intelligence for business, and Conversica Chief Scientist Dr. Sid J. Reddy has shared with Digital Journal readers four things are unlikely to happen with artificial intelligence during 2018. Dr. Reddy refers to these as "unpredictions", turning the common approach for analysts to make predictions on its head.


Microsoft breaks out new AI group within its research unit

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Microsoft has created a unit within its broader artificial intelligence and research organization that will take on tough AI challenges, like how to use different AI technologies, to make software smarter. The subset organization, called Microsoft Research AI, was announced in London on Wednesday by Microsoft executive vice president Harry Shum. It will employ about 100 researchers and be based at Microsoft's Redmond, Wash. The new unit is roughly analogous to Google's DeepMind AI research organization. Broadly speaking, AI comprises several technologies meant to endow software with human-like intelligence.


How smart is Artificial Intelligence?

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Artificial Intelligence is beginning to have transformative effects on consumers, enterprises, and governments around the world. The impacts are contributing by automating repetitive task, creating efficiencies, ubiquitously improving user experience, and creating ways for humans to improve our cognition. Furthermore, by 2020, the AI market is projected to reach $70 billion, driven by increasing computational power and improving approaches/applications with machine, deep learning, natural language processing and robotics and many a number of other technologies. To gain a better understanding of the perception of AI in the US, PwC surveyed 2,500 consumers and business decision makers. The objective is to better understand their attitudes towards artificial intelligence, and the future implications on business and society.


How to use machine learning and AI in cyber security

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Cyber criminals are constantly seeking new ways to perpetrate a breach but thanks to artificial intelligence (AI) and its subset machine learning, it's becoming possible to fight off these attacks automatically. The secret is in machine learning's ability to monitor network traffic and learn what's normal within a system, using this information to flag up any suspicious activity. As the technology's name suggests, it's able to use the vast amounts of security data collected by businesses every day to become more effective over time. At the moment, when the machine spots an anomaly, it sends an alert to a human – usually a security analyst – to decide if an action needs to be taken. But some machine learning systems are already able to respond themselves, by restricting access for certain users, for example.


This Is Why All Companies Need An AI Strategy Today

#artificialintelligence

Any AI effort will rely on three main building blocks: data, infrastructure, and talent. The following is a guest post by Rita C. Waite, a Growth Strategy & Investments Manager at Juniper Networks. Artificial Intelligence (AI) is fundamentally changing how businesses operate across all sectors, including manufacturing, healthcare, IT, and transportation. Advancements in AI over the last decade are presenting opportunities for companies to automate business processes, transform customer experiences, and differentiate products offerings. AI pioneers like Google and Amazon, who have adopted these new technologies to create a growing competitive advantage, have already witnessed bottom-line benefits from their AI strategies.