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Create a cognitive news search app

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This code pattern is part of the Watson Discovery learning path. The web is home to massive amounts of data, with more being created every day. Organizations can harness this constant stream of information to gain understanding, plan strategies, and find opportunities. Enriched news data can help your application make dynamic connections across current events faster. In this code pattern, you'll start with the basics and build your own news mining web application using JavaScript, Node.js, and the Watson Discovery Service.


AI's Role in Enterprise Cybersecurity

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What is DMARC and How Does it Improve Email Security? By practically every measure, cybersecurity threats are growing more numerous and sophisticated each passing day, a state of affairs that doesn't bode well for an IT industry struggling with a security skills shortage. In a recent ESG and ISSA survey, 70 percent of cyber security professionals felt the cybersecurity skills gap had an effect on their organization. The Center for Cyber Safety and Education and (ISC)2 predicted a shortfall of 1.8 million cybersecurity professionals by 2022 after quizzing 19,000 security experts. With less security talent to go around, there's a growing concern that businesses will lack the expertise to thwart network attacks and prevent data breaches in the years ahead.


AI is the future of cybersecurity

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Artificial intelligence is touching just about every aspect of our lives making cars safer, connecting devices in our homes, changing the way brand marketers engage us with their latest campaigns, and personalizing the latest medical treatments and protocols to improve care. According to Cyberseek, a project managed by the U.S. Department of Commerce to measure cybersecurity talent demands, there are almost 350,000 open cybersecurity jobs available at the time we published this article. Cybersecurity analyst is among the most advertised position online. Every day, security analysts look at an ocean of events gathered from log files. Their job is to identify security threats and determine which events warrant further investigation. A dearth of skilled analysts, combined with an overwhelming array of data from blogs and research papers, makes it difficult to put security events in context.


Data management a chore? These three tips can improve your data relationship - Watson

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In a 2016 The New York Times article about the challenges facing data scientists, one was quoted as saying, "We really need better tools so we can spend less time on data wrangling and get to the sexy stuff."1 Manually converting or mapping raw data into data that can generate actionable insights is an important but repetitive task that takes a huge amount of time. Even simple terminology used to define the task of dealing with colossal amounts of modern data makes it sound like something of a chore; a data wrangler or data janitor. The "sexy stuff" is analysis and modeling to enrich the data relationship. The key to any good relationship is understanding--prompted by, based on, or demonstrating comprehension, intelligence, discernment, and sentiment.


Watson Discovery Service Overview Demo

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Create an app to query your data using Watson Discovery - Duration: 11:19. Rich Hagarty 311 views Watson Summit London: Festival of Disruption - Duration: 3:04. IBM UK & Ireland 58 views Watson Discovery Service technical deep dive demo - Duration: 11:34.


Watson Discovery Service technical deep dive demo

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Create an app to query your data using Watson Discovery - Duration: 11:19. Rich Hagarty 311 views Why you should use Watson Discovery Service - Duration: 1:46. IBM Watson 20,418 views How Watson Discovery Service helps cyber security analysts detect threats faster than ever before - Duration: 1:54. IBM Watson 528 views Watson Discovery Service technical deep dive demo - Duration: 11:34.


Mine public and private data to gain broader context and make better decisions - Watson

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Key Points: – It's critical for many businesses to get a unified "single pane of glass" view of private business data alongside publicly accessible data. Contrasting these with open data is invaluable. The digital age has enabled greater visibility and access to data and content than ever before. Students, research professionals and businesses benefit from data democratization in ways that would have seemed impossible even a decade ago. Though some businesses are still striving to eliminate departmental silos within their enterprise, leading organizations are adopting technology to compare and contrast their private business data with third party and open data from the digital realm.


Your data mine runs deep, so why only scratch the surface? - Watson

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The premise of the wildly successful Raiders of the Lost Ark film franchise is discovery. In his adventures, fictional archaeologist Dr. Henry "Indiana" Jones seeks hidden artifacts that hold sought after secrets--objects as elusive as fossilized alien heads and the Holy Grail--to investigate and preserve the clues they contain. Similarly, IBM Watson and Discovery Service can unearth secrets buried deep in your data. Without question, data is one of your organization's most valuable resources: mining the untapped potential in that resource demands powerful, cognitive solutions. Historically, cognitive solutions came with steep learning curves that demanded more staff expertise, financial resources and time.


How Watson AI is helping companies stay ahead of hackers and cybersecurity attacks - Watson

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Key Points – In today's increasingly interconnected world, hacks, breaches and malware attacks have become a way of life. Cybercrime is projected to cause $6 trillion in damages by 2021. Cybersecurity threats are growing at a record pace. Cybercrime is projected to cause more than $6 trillion in damages by 2021, and businesses are estimated to invest $1 trillion over the next five years to try to mitigate these threats. According to Bloomberg, security incidents increased by 40% in 2016 from the previous year, setting a new record.


How Wimbledon is using IBM Watson's AI to power highlights, analytics and enriched fan experiences - Watson

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Key Points: – We're helping Wimbledon deliver new levels of engagement for ticket holders and 70 million online fans – Watson-powered real time match reports are expected to rival global outlets in breaking news and uncovering player insights – Watson Discovery Service is using 22 years of unstructured data to analyze an estimated 53,713,514 tennis data points – A voice-activated, watson-powered digital assistant "Fred," helps attendees find their way around the venue At the All England Lawn Tennis Club (AELTC), more than a half-million fans gather for the Wimbledon Championships every year. For two weeks in July, enthusiastic fans descend on the SW19 venue, with thousands of fans swarming onto the iconic Henman Hill to watch the tournament unfold. That's not including the more than 70 millions fans who watch the tournament online and on their televisions. All the fanfare isn't complete without the ongoing effort of the AELTC to enrich fan experiences through cutting-edge technology in new ways. For the 2017 Championships, IBM Watson is working with AELTC to deliver ticket holders and 70 million online fans with new levels of engagement and user assistance.