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How Could Artificial Intelligence Be Essential To Cybersecurity? 1

According to a survey conducted by Senseon as part of a research project on Small and Medium-sized Enterprises (SMEs), 81 percent of participants believe that AI would improve the future of cybersecurity while only 3 percent disagree.

The question is, how does the aspect of machine intelligence provide benefits to the company and what objectives and initiatives must the developer, analyst and decision maker establish to enable those types of AI to benefit the security of the cyber age?

“as cyberattacks grow in volume and complexity, artificial intelligence (AI) is helping under-resourced security operations analysts stay ahead of threats.” It continued “curating threat intelligence from millions of research papers, blogs, and news stories, AI provides instant insights to help you fight through the noise of thousands of daily alerts, drastically reducing response times.” IBM is known to have recently deployed a supercomputer called IBM Watson which, according to the TechTarget definition, combines artificial intelligence and sophisticated analytical software for optimal performance as a “question answering” machine.

In brief, artificial intelligence should be incorporated into the cybersecurity field due to the level of increased performance and possible advantages for the system to prevent the private and public data from being compromised.

Smart Implementation of Machine Learning and AI in Data Analysis: 50 Examples, Use Cases and Insights on Leveraging AI and ML in Data Analytics

Now that more companies are mastering their use of analytics, they are delving deeper into their data to increase efficiency, gain a greater competitive advantage, and boost their bottom lines even more.

For call centers, using ML and AI means having speech analytics software in place – in fact, decades ago call centers began using primitive forms of artificial intelligence.

To help your company understand how machine learning and AI in data analysis can benefit your business, we have rounded up examples of smart implementation, insights from the experts, and business use cases to give you the information you need to start using these types of advanced data analysis yourself.

WittySparks is a blog run by creative minds who practice in a host of fields and write about hot topics in digital marketing, content marketing, business, and technology, among other fields.

In this marketing strategy article, Dan Shewan shares 10 examples of companies using machine learning in innovative ways, including image curation at scale, improved content discovery, and to leverage chatbots.

In his ThoughtSpot article, chief data Evangelist Doug Bordonaro explains that you don’t really need to understand machine learning, artificial intelligence, and deep learning to take advantage of them for your business.

@thoughtspot Three key details we like from 5 Ways Machine Learning Can Make Your BI Better: In his Medium article, investor and technologist Nathan Benaich uses his expertise in AI and emerging technology to encourage readers to delve into machine learning.

Their AI Business Use Cases share detailed glimpses into how machine learning makes it possible to automate common data workflow, detect objects by image, and understand text.

They refer to AI and machine learning as “the most important general-purpose technology of our era,” because the machine continually improves its performance without humans needing to explain how to accomplish all its tasks.

The Fatal Flaw of AI Implementation MIT Sloan Management Review leads the way for academic researchers, business executives, and other influencers and thought leaders about advances in management practice, especially those shaped by technology.

In her MIT SMR article, Jeanne Ross warns companies to be cautious about implementing AI because companies that do not insert value-adding AI algorithms into their processes correctly suffer. @mitsmr Three key details we like from The Fatal Flaw of AI Implementation: eeNews Europe delivers news, analysis, product, and design information to the electronics engineering community.

@ciouk Three key details we like from How 11 CIOs are Using Machine Learning to Boost Innovation: After Erik Brynjolfsson and Andrew McAfee published their HBR article arguing AI and machine learning will become “general-purpose technologies,” HBR senior editor Walter Frick sat down with Hilary Mason, the founder of Fast Forward Labs, to discuss how companies can put these technologies into practice and how to take advantage of them. @HarvardBiz Three key details we like from How AI Fits into Your Data Science Team: InnovationEnterprise is the leading global voice in enterprise innovation, providing access to cutting-edge content across nine distinct channels.

In their perspectives report, that provide a comprehensive overview of AI and machine learning and examine how smart apps are impacting small businesses and the implications of the technology on small businesses.

@HITAnalytics Three key details we like from How Healthcare Can Prep for Artificial Intelligence, Machine Learning: Maruit Techlabs is a professional team delivering end-to-end software solutions related to chatbots, mobile platforms, application development, and web analytics.

Their machine learning article explores how the technology boosts predictive analytics, yet only 60% of business leaders who cite growth as a key source of value from analytics have predictive analytics capabilities.

Lukas Biewald’s TechCrunch article asserts that machine learning is forcing massive changes in company operations and explores how businesses use machine learning every day.

@Clickatell Three key details we like from How to Use Machine Learning in Business: Barnard Marr, bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI, and Big Data expert, shares how Walmart uses machine learning, AI, IoT, and Big Data to improve performance.

@BernardMarr Three key details we like from How Walmart Is Using Machine Learning AI, IoT and Big Data to Boost Retail Performance: Edgy Labs is comprised of a group of technologists and successful tech entrepreneurs who specialize in growth hacking, SEO, artificial intelligence, virtual reality, augmented reality, and the Internet of Things.

@edgylabsdotcom Three key details we like from How You Use Machine Learning Everyday and Business Will, Too: Deloitte is a global network of member firms that helps clients achieve their goals, solve complex problems, and make meaningful progress.

Here, Philipp Gerbert, Martin Reeves, Sebastian Steinhäuser, and Patrick Ruwolt share the findings of a report BCG conducted with MIT Sloan Management Review to determine exactly how businesses use AI and establish a baseline to help companies compare their efforts and goals with the technology and to offer guidance for future initiatives.

They also share this article by Scott Hackl, global head of sales for Finacle at EdgeVerve, which presents his argument that banks and credit unions should use Ai and the power of advanced analytics in order to become agile and remain relevant.

She also addresses the ways in which the advanced technology can work for small businesses and investigates several services and products that make AI and machine learning accessible for those businesses.

@Esri Three key details we like from A New Business Intelligence Emerges: Geo.AI: Mary Branscombe’s article offers a realistic look at the ways in which machine learning can impact business and the ways in which you can use it today in your company.

In this article, they explore deep learning and machine learning and the ways in which Gartner predicts deep learning will be a critical component of demand, fraud, and failure predictions by 2019. @BusinessTechSA Three key details we like from Using Machine Learning and AI to Add Value to Business: KPI and Big Data expert Bernard Marr’s Forbes article examines the significance of AI, machine learning, and Big Data for B2B companies.

@Forbes @BernardMarr Three key details we like from Why AI, Machine Learning and Big Data Really Matter to B2B Companies: SalesforceIQ delivers relationship intelligence technology to help companies save time and close more deals via smarter selling and better relationships.

5 Artificial Intelligence Services Every Salesperson Should Try to Boost Their Sales

How many times have you engaged a prospect, but it took a large number of emails back and forth to schedule that next meeting?

AI & automation: redesigning the future of jobs for millennials | Danny Goh | TEDxSOAS

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#219: McKinsey & Company (McKinsey Global Institute) on Artificial Intelligence and Machine Learning

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Google Is Training Its Artificial Intelligence To Detect Eye Disease

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Artificial Intelligence: From Social Good to Ambient Intelligence (Google I/O'19)

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Max Tegmark: "Life 3.0: Being Human in the Age of AI" | Talks at Google

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A.I. Is Monitoring You Right Now and Here’s How It's Using Your Data

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