big data


14 data scientists you should follow on Twitter TechBeacon

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The application of artificial intelligence (AI) and machine learning to business and IT, from intelligent IT operations (AIOps) to service management to software testing, is keeping the data revolution moving at lightning speed. That's why data science remains a popular concentration for computer science students who have the talent for math and analytics. And it's why more organizations are clamoring for data scientists who can help make decisions faster and put their businesses ahead of competitors. To help you keep up, TechBeacon assembled this list of leading data scientists to follow on Twitter. Plus: Get the 2019 Forrester Wave for ESM.


How To Transform The Customer Journey With AI And Big Data

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Providing excellent customer service needs to be a priority for every business. Think of your customer service department as the personality of your brand. It is also the reason why people will choose your products and services on a repeated basis. It is quite simple really, with no customers, there is no company. The path that consumers travel on to make a purchase, is called the "customer journey."


Top Call Center Trends For 2020 CallCenterHosting Blog

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The call center trends for 2019 saw the rise of call center analytics, social media engagement, and the importance of AI. Businesses are already changing at a relatively faster pace than it was expected. Domains like call center technologies lay enough emphasis on customer satisfaction, improving customer experience, enhancing service levels, all this while simultaneously increasing the sales of the organization. Artificial intelligence, big data, business analytics technologies are driving incredible innovations and bringing tremendous advancements that are making it possible to do stuff with user data that people only dreamed of a while ago. In this blog post, we will look at some most dominant trends for the year 2020 that will make a considerable impact on the way call center industry works.


Data Analyst, BDR (APAC) ai-jobs.net

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This is a rare opportunity to work for a breakthrough company that is disrupting a $50B market. MongoDB is the fastest-growing database on the planet, and the MongoDB community is transforming industries with incredibly innovative applications. To help fuel and manage this growth, we are looking for someone to join our leading-edge talent acquisition team that moves quickly and stay focused but relish the opportunity to help build a company with immense potential. This is a critical and highly visible role in one of the fastest growing enterprise software companies in the world where recruiting is a top priority of the company. You'll report to the Manager, Systems & Analytics and will be located in Gurgaon.


FED4FIRE OPEN CALL – CLOUD, BIG DATA & MACHINE LEARNING - LARGE EXPERIEMENTS - FED4FIRE

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The Fed4FIRE Federation has supported more than 100 experiments from SMEs, industry, academia and research organizations. Examples of such experiments may include, but are not limited to, testing of new protocols or algorithms, performance measurements or scalability testing. Note, proposers must submit a feasibility check before 18 February.


Three New Interesting Books on Data Science/Machine Learning

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The book starts with the basics of R programming language, data analysis/visualization skills with tidyverse and goes on to cover probability, statistical inference, linear regression, and machine learning. The free online book has been available for a while at https://rafalab.github.io/dsbook/


Five steps to building a data strategy for AI - IBM IT Infrastructure Blog

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Our data-centric world is driving many organizations to apply advanced analytics that use artificial intelligence (AI). AI provides intelligent answers to challenging business questions. AI also enables highly personalized user experiences, built when data scientists and analysts learn new information from data that would otherwise go undetected using traditional analytics methods. AI-driven analytics delve more deeply into organizational data, deriving smarter insights that can give businesses a powerful competitive edge. A well-considered data strategy is essential from the start.


AI, Big Data & Advanced Analytics In The Supply Chain

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Data has become one of the most valuable commodities for modern businesses. However, sometimes with great plenty, comes great responsibility. In addition, more and more businesses are going digital, and the result is that a large amount of data is being produced within their supply chains. But data, as opposed to capital, is useless without the tools that allow organizations to order, understand, and gain deeper insights from it. The big data revolution has made it necessary for business leaders to invest in technologies that enable big data analytics.


29 Best Data Analytics Certification Online Courses & Tutorials JA Directives

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Do you want to upgrade your skills with Best Data Analytics Certification Online to stand out in the industry? Here is a list of Best Data Analytics Courses Online, Training, Tutorials, and Classes to assist you to become a top Data Analyst. Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subjects in every sector for almost every industry. Learn business analytics to get hands-on knowledge of big data analytics, data visualization, data management, and data mining as an analytics professional. Majority of the business professionals are upgrading their skills with Best Data Analytics Training to standout in their industry.


Cognitive Computing Market is growing at a High CAGR by 2027 – Saffron Technology, Cognitive Scale, Microsoft Corporation, Cold Light, Google, IBM, Palantir, Numenta, Vicarious, and Enterra Solutions - Market Research Scoop

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Industry Report "Cognitive Computing Market" provides a clear picture of the Current Market Scenario which includes past and estimated future size with respect to Value and Volume, Technological Advancement, Macro Economical and Governing Factors in the Cognitive Computing market. Cognitive Computing is defined as the technology based on the principle of artificial intelligence, signal processing, machine learning, and natural language processing (NLP) among others technology. It brings human like intelligence for a many business applications which will include big data. Cognitive Computing is a well-known technology basically specialized for processing and analyzing large and unstructured datasets. The major drivers of the cognitive computing market are the advancements in computing platforms like cloud, mobile, and big data analytics which will drive the growth of the market in the forecast period.