Category Archive: business analytics

How to Take the Plunge from IT to Analytics: Explained

With data analytics flourishing the manner it is, a lot of you hailing from IT background are sincerely thinking about making the remarkable switch from IT to Analytics. The skills you possess are transferable and the data structure fascinates you. You know very well, you will make more money in analytics and your career pathway will seek you great rewards. Yet something is stopping you from going!!!

 

How to Take the Plunge from IT to Analytics: Explained

 

What it is? Why are you feeling apprehensive to make the bold move that could change your life and career forever?

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3 Data Analytics Success Stories – to Keep the Bells On

Data is the new oil – processing it into actionable intelligence is the only way of leveraging its potentials to the fullest. On this note, CIOs are courting predictive analytics tools, curating machine learning algorithms and battle-testing cutting-edge solutions to amp up business efficiencies and devise better ways to fulfill customer needs.

 

3 Data Analytics Success Stories – to Keep the Bells On

 

For robust technological growth, CIOs are investing more than ever on newer tools and systems that supports data science. Going by the research statistics of IDC, worldwide revenues in the field of big data and data analytics are expected to soar high above $150.8 billion in 2017, an increase of 12.4%over 2016. Also, commercial purchases of software, hardware and services in pursuit of boosting big data and business analytics are expected to cross $210 billion.

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3 Stages of a Reliable Data Science Solution to Attack Business Problems

Today, businesses are in a rat race to derive relevant intuition and make best use of their data. Several notable organizations are skimming with cutting edge data science terms and resolving intricate problems (some being more successful than others).

 

3 Stages of a Reliable Data Science Solution to Attack Business Problems

 

However, the crux lies in determining the present stage of data science your organization has embraced, followed by ascertainment of the desired level of data science.

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Blockchain Technology 101: A Beginner’s Guide

The Blockchain, the brainchild of a single curator or a group of specialists known by the nom de guerre, Satoshi Nakamoto is indisputably a brilliant invention. With the passage of time, it evolved into something greater and more insightful.

 
Blockchain Technology 101: A Beginner’s Guide
 

Drop by DexLab Analytics to know more about Big Data and Data Analytics courses.

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How to Devise a Big Data Architecture – Get Started

How to Devise a Big Data Architecture – Get Started
 

Designing Big Data architecture is no mean feat; rather it is a very challenging task, considering the variety, volume and velocity of data in today’s world. Coupled with the speed of technological innovations and drawing out competitive strategies, the job profile of a Big Data architect demands him to take the bull by the horns.

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Google’s DeepMind: Roll the Wheels of Imagination with Advanced AI

Use intelligence to make the world a better place to live in – Google’s London-based AI coterie, DeepMind is a pioneer in artificial intelligence research programs and has churned out two distinct types of AI that uses the ‘power of imagination’ to plan ahead and fulfil tasks with a higher success rate than the previous ones that lacked imagination.

 
Google’s-DeepMind
 

In a recent interview, DeepMind researchers shared a crisp review of “a new family of approaches for imagination-based planning.” I2As, the so-called Imagination-Augmented Agents make use of an internal ‘imagination encoder’, which helps the AI determine what are and what aren’t productive predictions about its atmosphere.

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Business Intelligence: Now Every Person Can Use Data to Make Better Decisions

The fascinating world of Business Intelligence is expanding. The role of data scientists is evolving. The mysticism associated with data analytics is breaking off, making a way for non-technical background people to understand and dig deeper into the nuances and metrics of data science.
 
Business Intelligence: Now Every Person Can Use Data to Make Better Decisions
 

“Data democratization is about creating an environment where every person who can use data to make better decisions, has access to the data they need when they need it,” says Amir Orad, CEO of BI software company Sisense. Data is not to be limited only in the hands of data scientists, employees throughout the organization should have easy access to data, as and when required.

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More Than Fifty Percent Companies Lack Required Tools and Investment for Efficient Business Analytics

Fifty-nine percent of the companies around the world are not using Predictive Models or Advanced Analytics – says Forbes Insights/Dun & Bradstreet Study.

 
More Than Fifty Percent Companies Lack Required Tools and Investment for Efficient Business Analytics
 

A recent study by Forbes Insights and Dun & Bradstreet, “Analytics Accelerates Into the Mainstream: 2017 Enterprise Analytics Study,” elucidates the ever-increasing indispensable role that analytics play in today’s business world, all the way from devising strategies to operations. The gloomy Forbes study highlights the crucial need for immediate investment, implementation and prioritization of analytics within companies.

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Skills required during Interviews for a Data Scientist @ Facebook, Intel, Ebay. Square etc.

Skills required during Interviews for a Data Scientist @ Facebook, Intel, Ebay. Square etc.
 

Basic Programming Languages: You should know a statistical programming language, like R or Python (along with Numpy and Pandas Libraries), and a database querying language like SQL

Statistics: You should be able to explain phrases like null hypothesis, P-value, maximum likelihood estimators and confidence intervals. Statistics is important to crunch data and to pick out the most important figures out of a huge dataset. This is critical in the decision-making process and to design experiments.

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When Machines Do Everything – How to Survive?

In the coming years, jobs and businesses are going to be impacted; reason AI. Today’s generation is very much concerned about how the bots will consume everything; from jobs to skills, the smart machines will spare nothing! It is true that machines are going to replace man-powered jobs – by using robots, mundane jobs can be performed in a flick of an eye freeing people working in bigger organisations to innovate and succeed.

 

Machine Learning training course Pune

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