big data


Machines at Work: Understanding the Ins and Outs of AI and Machine Learning 7wData

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Pattern recognition is a virtue that can reap tremendous benefits for businesses if leveraged properly. It can make business forecasting efficient and decision-making effective. These algorithms can then be applied to several instances for arriving at meaningful conclusions. In this article, we will shed some light on understanding Machine Learning, its working principle, and how it is different. We'll also try to perceive the importance of Machine Learning, and which AI and Machine Learning course is best suitable in a particular case.


The Future of FinTech is AI & Big Data - Inteliment Technologies

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Financial Technology, or FinTech, is a very young industry though growing at an exponential speed. It basically involves companies that make use of various technologies to better their financial systems. In other words, FinTech largely associates itself with the financial sector and includes all possible innovations in retail banking, investments, financial literacy and education, even Bitcoin. In fact, you may call it a digital revolution in the financial sector. Such figures clearly focus on the growing importance of FinTech for businesses.


Oracle Beefs Up Its Machine Learning With DataScience.com Acquisi

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Oracle today said that it will acquire DataScience.com Combined, end-users will have access to the data science platform capabilities while also being able to leverage Oracle's cloud infrastructure and use the machine learning tools alongside Oracle's Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) offerings. It helps IT teams, primarily those working on artificial intelligence (AI) and data analytics, to coordinate work remotely. Members of these teams can share computing resources on its platform to build out data science workflows and other AI technologies. The data science tools on the platform are open sourced.


What Are The Best Ways To Visualise Machine Learning Algorithms

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Machine learning and data science are revolutionising the information technology industry and the way innovations are impacting our lives. With so much going on around these areas, it is often difficult to assimilate ideas and concepts around them. Additionally, the growing number of tools are overwhelming the these areas. This article discusses a visual mindset towards machine learning, that allows us to gain the best from the subject. One of the key factors that ML is dependent on, is the availability of right data for a project.


The cyber risk gap

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Leading digital transformation specialist and engineering solutions company Tech Mahindra has launch a new AI-powered cybersecurity platform in partnership with Silicon Valley-based Balbix. Described as the security industry's first'AI-powered continuous threat assessment and prioritised actionable risk intelligence platform' the intelligence security operations center (iSOC) is able


When Nations Vie for AI Supremacy - InformationWeek

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When it comes to the world of "big data", whoever has the most data has an advantage. And whoever has the most and best data scientists with the best tools to crunch that data usefully, build on that advantage. That's a key reason CIOs now look at all the data their companies collect and enlist data scientists and new tools to try to wring competitive advantage from what they learn. Entire economic blocs and countries are also upping the investment ante as they seek to slake their thirst for data and the riches machine learning and other AI technologies can bring. For example, the European Union's Digital Market Commission in April said it would increase its artificial intelligence R&D spending to $1.8 billion.


18 Useful Mobile Apps for Data Scientist / Data Analysts

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Does your passion lie in Data Science / Analytics? Currently, data science and machine learning are changing the world. Here's your chance to live your passion. To become better at what you do, you no longer need to stick around your laptop for long hours. Take a break and switch to faster way of learning. Did you know you can run Python in your phone?


Top IT Priority: Cloud. AI, Not So Much - InformationWeek

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Cloud and hybrid IT are the top priority for IT organizations today (91%), with automation (79%) and big data analytics (78%) following not too far behind, according to the annual SolarWinds IT Trends Index report. But guess what's not very high on the priority list for IT? Artificial intelligence (32%), machine learning (30%), and blockchain (11%). All these need to get in line behind a host of other technologies before they get more attention from IT. These findings are among many in this year's IT Trends Index report that surveyed 803 IT pros -- both leaders and rank-and-file -- in several regions around the world. The report delves into IT attitudes around technologies that include containers, the Internet of Things (IoT), software-defined everything, and robotics, among others.


How State Governments Can Protect and Win with Big Data, AI and Privacy

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I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of "Big Data, Artificial Intelligence and Privacy." Honored by the privilege of offering my perspective on these critical topics, I shared with my home-state legislators how significant opportunities await the state. I reviewed the once-in-a-generation opportunities awaiting the great State of California ("the State"), where decision makers could vastly improve their constituents' quality of life, while creating new sources of value and economic growth. We have historical experiences and references to revisit in discerning what the government can do to nurture our "Analytics Revolution." Notably, the Industrial Revolution, holds many lessons regarding the consequences of late and/or confusing government involvement and guidance (see Figure 1).