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

Posted on July 28, 2017May 23, 2020 by Dexlab

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.

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

Posted on July 26, 2017May 23, 2020 by Dexlab

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.

“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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Will GST Boost The Big Data Revolution? The Answer lies Within

Posted on July 3, 2017July 3, 2017 by Dexlab

It is July 1st, 2017 – the epic day when GST, aka The Goods and Services Tax comes into effect, simplifying the whole tax collection procedure of the nation. From today, there will be a single tax on the supply of goods and services that will replace all other state and central levies. GST is pegged to be one of the most impressive economic tax reforms implemented by PM Narendra Modi to take Bharat to the summit of transparent digitization.

Data is crucial. While it ushers in a greater transparency and simplified tracking through data, it also unleashes the requirement for Data Analytics and ERP solutions. Besides, GST includes several billing software and payment gateway channelization, triggering plenitude of job opportunities in the IT sector. Reports say it is going to be a $1 billion opportunity for IT vendors over the next two years. Quite a lot to think about!

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Celebrate #InternationalYogaDay: Get the Most Out of Yoga from Big Data

Posted on June 21, 2017June 21, 2017 by Dexlab

Bored of the same old fitness routine?

This International Yoga Day, dust off your yoga mat and take a holistic approach to health and wellbeing. Continue reading “Celebrate #InternationalYogaDay: Get the Most Out of Yoga from Big Data”

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

Posted on June 12, 2017July 19, 2018 by Dexlab

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

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.

The survey was carried on more than 300 senior executives in Britain, Ireland and North America and the report illuminates that the leading corporate giants need to invest more on the people, the processes they use and technologies that authorize decision support and decision automation.

Bruce Rogers, chief insights officer at Forbes Media was found quoting, “This study underlines the need for continued focus and investment,” he further added, “Without sophisticated analysis of quality data, companies risk falling behind.”

“All analytics are not created equal,” said Nipa Basu, chief analytics officer, Dun & Bradstreet. She explained, “This report shows a critical opportunity for companies to both create a solid foundation of comprehensive business data – master data – and to utilize the right kind of advanced analytics. Those that haven’t yet begun to prioritize implementation of advanced analytics within their organizations will be playing catch-up for a long while, and may never fully recover.”

Key findings revealed:

Need for tools and best practices

Though data usage and consumption growth brags about success, little sophistication is observed in how data are analysed. Only 23% of the surveyed candidates are found to be using spreadsheets for all sorts of data work, while another 17% uses dashboards that are a little more efficient than spreadsheets.

The survey says mere 41% rely on predictive models and/or advanced analytical and forecasting techniques, and 19% of the respondents implement no analytical tools that are more complicated than fundamental data models and regressions.

Skill deficiency stalling analytics success

Twenty seven percent of respondents diagnosed with skill gaps as a major blocker between current data and analytics efforts. Fifty two percent were found to be working with third-party data vendors to tackle such lacks of skills. Moreover, 55% of the surveyed contestants said that third-party analytics partners performs better than those who works in-house, exhibiting both a shortage of analytics capabilities among in-house analysts and a dearth in skilled workers.

Investment crunch

Survey respondents ticked lack of investment and problems with technology as the top hindrances to fulfilling their data strategy goals. Despite the increasing use of data, investment in deft personnel and technology is lagging behind.

CFO’s introspect into data for careful insights

According to the survey, 63% of those who are in the financial domains shared they are using data and analytics to discover opportunities to fund business growth. Further, 60% of the survey respondents revealed they rely on data to boost long-term strategic planning.

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

Posted on June 9, 2017May 23, 2020 by Dexlab

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.

Machine Learning: You should be able to explain K-nearest neighbors, random forests, and ensemble methods. These techniques typically are implemented in R or Python. These algorithms show to employers that you have exposure to how data science can be used in more practical manners.

Data Wrangling: You should be able to clean up data. This basically means understanding that “California” and “CA” are the same thing – a negative number cannot exist in a dataset that describes population. It is all about identifying corrupt (or impure) data and and correcting/deleting them.

Data Visualization: Data scientist is useless on his or her own. They need to communicate their findings to Product Managers in order to make sure those data are manifesting into real applications. Thus, familiarity with data visualization tools like ggplot is very important (so you can SHOW data, not just talk about them)

Software Engineering: You should know algorithms and data structures, as they are often necessary in creating efficient algorithms for machine learning. Know the use cases and run time of these data structures: Queues, Arrays, Lists, Stacks, Trees, etc.

What they look for? @ Mu-Sigma, Fractal Analytics

- Most of the analytics and data science companies, including third party analytics companies such as Mu-sigma and Fractal hire fresher’s in big numbers (some time in hundreds every year).
- You see one of the main reasons why they are able to survive in this industry is the “Cost Arbitrage” benefit between the US and other developed countries vs India.
- Generally speaking, they normally pay significantly lower for India talent in India compared to the same talent in the USA. Furthermore, hiring fresh talent from the campuses is one of the key strategies for them to maintain the low cost structure.
- If they are visiting your campuses for interview process, you should apply. In case if they are not visiting your campus, drop your resume to them using their corporate email id that you can find on their websites.
- Better will be to find someone in your network (such as seniors) who are working for these companies and ask them to refer you. This is normally the most effective approach after the campus placements.

Key Skills that look for are-

Love for numbers and quantitative stuff
Grit to keep on learning
Some programming experience (preferred)
Structured thinking approach
Passion for solving problems
Willingness to learn statistical concepts

Technical Skills

Math (e.g. linear algebra, calculus and probability)
Statistics (e.g. hypothesis testing and summary statistics)
Machine learning tools and techniques (e.g. k-nearest neighbors, random forests, ensemble methods, etc.)
Software engineering skills (e.g. distributed computing, algorithms and data structures)
Data mining
Data cleaning and munging
Data visualization (e.g. ggplot and d3.js) and reporting techniques
Unstructured data techniques
Python / R and/or SAS languages
SQL databases and database querying languages
Python (most common), C/C++ Java, Perl
Big data platforms like Hadoop, Hive & Pig

Business Skills

Analytic Problem-Solving: Approaching high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.
Effective Communication: Detailing your techniques and discoveries to technical and non-technical audiences in a language they can understand.
Intellectual Curiosity: Exploring new territories and finding creative and unusual ways to solve problems.
Industry Knowledge: Understanding the way your chosen industryfunctions and how data are collected, analyzed and utilized.

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When Machines Do Everything – How to Survive?

Posted on June 5, 2017June 5, 2017 by Dexlab

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.

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Go Harder, Longer, Faster, And Stronger With Impressive Corporate Training Programs

Posted on April 7, 2017April 7, 2017 by Dexlab

Let’s acknowledge, we are living in a digital world. Whether you attend a business dinner, work in the oil fields or inspect warehouse records, the claws of digital technology grips you daily. Today’s digital world revolves around communications, and Avaya is a pioneer in delivering brilliant communications experiences.

The expert consultants at DexLab Analytics – a top-notch big data training institute in India is conducting a three-month long training program for selected officials of Avaya at the company’s Pune branch. The consummate team of Business Intelligence, Data Warehousing and Analytics representatives from Avaya will stay in Pune, till the session is completed.

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Headquartered in Delhi, DexLab Analytics feels extremely honoured in heading such an inspiring event with an acute vision of imparting knowledge and skills to individuals. The diligent team of consultants is going to share deeper insights on subjects, like R Programming, Data Science using R, Statistical Modeling using R, Advance Microsoft Excel – VBA, Macros, Dashboards and Tableau BI & Visualization. The sole purpose of this training is to equip the team of Avaya with modern state-of-the-art data technology so as to give them a certain edge over their rival tailing companies.

In this age of digitisation, and when Modijee is in his endeavour to make India Digital India, how can we ignore the reverberating importance of analytical skills! One of the prime advantages of great analytical skills is that you can take crucial decisions to fulfil your organization’s aims and objectives. The vast amount of real time data is at your disposal, and with them, you can easily achieve success and growth in the future. Therefore, it is evident that the need for analytical skills is going to swell in the coming years, and DexLab Analytics is a reputable business-analytics training institute, which strongly believes in the growing significance of digitisation using data science and analytics.

In the context of the above discussion, the spokesperson from DexLab Analytics has this to say –

“DexLab Analytics with its team of seasoned corporate trainers offering valuable insights about the high-in-demand skills, like Big Data Hadoop, Business Analytics, R Programming, Machine Learning, SAS Programming, Data Science, Visualization using Tableau and Excel are seeking ways to fabricate a path towards corporate training excellence in the wide-encompassing field of Big Data and Data Analytics. Our intensive training module will help officials confer an exhaustive analysis of a newer domain of data science, which will make them more data-efficient and data-friendly.”

Recently, the expertise in big data has been recognised as a major component for achieving success in the advanced digital world and the concerned representatives are acknowledging this impressive view. So, let’s hope this take on data analytics motivates more people, paving new roads for data-centric ideas and modules in the near future.

Are you looking for intensive SAS courses in Pune? Visit DexLab Analytics and scan through a list of encompassing SAS training courses in Pune.

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Concocting Data with GIS

Posted on March 22, 2017May 18, 2018 by Dexlab

In supreme and sophisticated geospatial realm, data have been predominant. Or, should I say it is the matured fosterling of Geographic Information Systems (GIS). Choose, whatever suits you; subject to whom you work for or what you need to work on. The meat and potatoes? To excel on location analytics, concentrate only on the best most current data.

In today’s world, data is valuable. It is vital and veritable. It is indispensable in Geographic Information Systems (GIS).

To second that, today’s tech-efficient society is anchored on location-based data, than ever, especially with the rise in Twitter, Google, Facebook and other social media apps, which collects and stores data from their highly-valued users to sell them off to money-grubbing advertisers. Though secretly. On the other hand, cell phones go a step ahead in broadcasting your current location data 24/7. Otherwise, how would your friends know that you are safe when a severe earthquake rattled your neighbouring city! (Thanks to location settings)

Feisty Predicaments

However, the real challenge lies in data identification and consumption. Countless number of users gets baffled when it comes to finding data, and if found, how to consume it to set off their business determinations. To solve this, many imminent think tanks of tech industry came out with direct and decisive solutions. Some of them were loaded with an abundance of data, i.e. digestible and disintegrated. By disintegration, they meant that the data was categorized into: points of interest, roads, boundaries and demographics, for easy comprehensibility. Furthermore, industry data bundles concerning telecommunications, retail and insurance fields were added to make the coverage global and profitable. To top it off, quality content and sprawling file formats boosted the results and mechanisms, both.

Conflux of GIS and BI

Location technology – Does this ring a bell? Yes? Then you would be familiar with GIS but others, particularly new Business Intelligence users and consumers must have just started taking baby steps on basic mapping. For BI, maps are the backdrop against which business analysts project their business data, stats and analytical information. Analysing the data to understand the insights of consumers is crucial, directly affecting the business decisions and revenues thereby. For example, heat maps, used to see the concentration of installations, customers and IoT devices provides an unparalleled accurateness of spatial relationships, which is impossible to obtain from the spreadsheets.

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One of the integral location analytics issues is to help in identifying the high-risk zones at the time of natural disasters, like tornadoes, earthquakes, floods, hurricanes or mudslides. For example, in the US, the East Coast is vulnerable to a lot of hurricanes and floods, whereas earthquakes and mudslides snap the West Coast time to time. Assessment of these location problems is intrinsically important for mortgage underwriters, insurance agents and public safety departments. And best data along with effective geo-coding is the solution to all the inconveniences.

Discover easy Data Science Courses Online by logging in to DexLab Analytics. To know more on Business Analytics Online Certification, contact us.

Interested in a career in Data Analyst?
To learn more about Machine Learning Using Python and Spark – click here.
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