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All Blog Posts Tagged 'and' (23)

How Long Does It Take to Learn Python for Data Science?

Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey.  Popular among most professional software developers, Python was ranked the world’s seventh popular programming language.

A study by PYPL Popularity of Programming Language Index (a study that monitors the frequency of searches regarding the popular programming languages to learn) predicted that it showed that there was a growth of 17.1% during the last…

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Added by Yoey Thamas on July 2, 2019 at 12:29am — No Comments

Data Science Predictions 2019

Data Science is a combination of data inference, algorithms, and technology that solves complex problems. The core of this technology is data that is initially raw, then is streamlined, and stored in a data warehouse. These vast amounts of data can help generate significant business values.…

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Added by Amit Dua on March 3, 2019 at 8:30pm — No Comments

5 Risks must be addressed by businesses and governements (AI can be magic wand for such cases of risk)

Players in ecommerce, entertainment, finance, Internet and social media space drive and influence risk indicators for not just for themselves but for users of Internet and increasingly to larger society as side effects spread to social, political and economic scenarios. Any risks from above domains are dominant and may easily be extrapolated in domains too.

There are five risks that may influence society negatively and turn in to resistance force for adoption of digital…

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Added by Chandra Shekhar on January 1, 2019 at 11:00pm — No Comments

A Machine Learning approach to strategic market research and segmentation

Machine learning is the branch of computer science and a subfield of Artificial Intelligence that utilizes past data to learn from and use its knowledge to make future decisions. Machine learning is at the intersection of computer science, engineering, and statistics. The goal of machine learning is to generalize a detectable pattern or to create an unknown rule from given examples.



Machine learning is broadly classified into three categories but nonetheless, based on the…

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Added by Malvika Mathur on December 8, 2018 at 11:00pm — No Comments

Make Your Chatbot Smarter by Talking to It

Summary:  A major problem with chatbots is that they can only provide information from what’s in their knowledge base.  Here’s a new approach that makes your chatbot smarter with every question it can’t answer, making it a self-learning lifelong learner.

 

If you’ve been keeping up with the…

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Added by William Vorhies on March 5, 2018 at 7:49am — 2 Comments

Building Automation and Control System Market - Maximum Comfort And Perfect Functionality at Minimum Cost

The Building automation and control system market was estimated as USD 30.8 Billion in 2014 and is expected to grow at a CAGR of 9.04% over the forecast period. The automation and control system is referred as the structured interlink network control system. The control system is used to control and monitor the MEP system such as security, power monitoring, CCTV, elevators…

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Added by Alisha Wilson on March 5, 2018 at 12:00am — 1 Comment

How Leading Organizations are Leveraging Big Data and Analytics

“Data will talk to you if you’re willing to listen”— Jim Bergeson.

Few can dispute that.

However, the challenge comes when data transforms into bundles and stacks of unorganized and unstructured data sets. The challenge comes with listening to…

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Added by Ronald van Loon on September 19, 2017 at 8:00pm — No Comments

Customer Data Analytics to Uberize Retail Landscape

Drones flying in the skies to deliver packages to customers, is how technology based on data and analytics is likely to impact retail industry and consumers both – in near future. New ways and means of understanding the customers are emerging and both, online and offline retailers are embracing this data first strategy. These retailers are trying their level best to match customers to products and services.

Retail is increasingly becoming a data driven…

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Added by Chirag Shivalker on September 16, 2017 at 11:00am — No Comments

What Skills Do I Need to Become a Data Scientist?

Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities—organizations are increasingly relying on the expertize of data…

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Added by Ronald van Loon on September 8, 2017 at 9:30am — 1 Comment

Data and Analytics; Don’t Trust Numbers Blindly



Data & Analytics have become main-stream. Executives and their boards are increasingly starting to question whether their organizations are truly realizing the full value of the insights. A study suggests that 58% of organizations have difficulties evaluating the quality of the data and its reliability, raising a big question to the stakeholders as to “can you trust your data?” On one hand these is this set of people who are worried about the authenticity…

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Added by Chirag Shivalker on August 30, 2017 at 3:30am — No Comments

Scraping Ice and Fire

Contributed by Rob Castellano. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking  place between April 11th to…

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Added by NYC Data Science Academy on September 4, 2016 at 10:30am — No Comments

How Data Bonds Sales and Marketing Together



So far in 2016, we’ve heard a lot about Big Data, the Internet of Things, and the hottest new marketing technique on the block: ‘hyper-personalised’ marketing. Marketers are increasingly interested in focusing their efforts on individuals, not database segments, because that all-important personal attention is shown to increase engagement, inspire customer loyalty and…

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Added by Martin Doyle on February 29, 2016 at 3:30am — No Comments

IoT and M2M Communication Market Fact Sheet

Internet of Things (IoT) and Machine-to-Machine (M2M) communication technologies offer remote device access to most if not all household appliances. This is the core common aim of both M2M and IoT solutions. However, each communication technology differs in the way they achieve remote device access. Conventional M2M solutions rely on point-to-point communications…
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Added by Madhuri Pawar on January 8, 2016 at 4:08am — No Comments

Government Initiatives to Push Market Growth of Russian IT Software and Services



Report Description



The Russian IT software and services market has completely restructured itself and has evolved significantly after the financial crisis of 2008. The IT software and services market has contributed enormously in the growth of Russian IT industry. The IT software and services market of Russian is anticipated to exhibit progressive 7.2% CAGR through the forecast period and touch US$8628.2 million by the end of 2020.



The consumerization…

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Added by rakhi w on November 23, 2015 at 3:05am — No Comments

Is Wearable Tech Creating a Data Time Bomb?



The company that made your smartphone is no longer a hardware manufacturer. It has become adept atharvesting and managing data from it users, too. Every device has a series of sensors, as well as a user…

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Added by Martin Doyle on November 10, 2015 at 2:34am — 1 Comment

What Are the Differences Between Quantitative and Qualitative Data Analysis?

Companies are fighting tooth and nail to stay ahead of the competition. Besides deploying aggressive market campaigns, they are focusing on increasing their dependency on research in order to understand market competition and trends. The changing market dynamics entails closer look at various aspects connected to the data.

The market research aims at giving business organizations information about customers or markets for making informed business decisions. This effort to collect…

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Added by Daina Martin on June 17, 2015 at 9:30pm — No Comments

To build a MEL, you need a Private Detective

Over the past six months we have been working with the reliability and maintenance organization within a large oil and gas client to build out their Master Equipment List (MEL). Like many asset-intensive organizations, they have implemented an Enterprise Asset Management (EAM) tool to give them visibility and control over their capital equipment to optimize their maintenance strategies, reduce operating costs, and better manage their workforce and spare parts inventories. The challenge is…

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Added by Sullexis LLC on October 6, 2014 at 8:00am — No Comments

Dimensional Modelling

There isn’t any specific standard to model data warehouse. It can be built either using the “dimensional” model or the “normalised” model methodologies. Normalised model normalises the data into third normal form (3NF) whereas dimensional model collects the transactional data in the form of facts and dimensions. Normalised model is easy to use as we can add related topics without affecting the existing data. But one must have good knowledge of how data is associated before performing…

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Added by Avesh Dhakal on May 29, 2014 at 4:12am — No Comments

Building a house and building a data-analytic model

If I want to build a house, wouldn't it be wise to learn carpentry? Does the analogy hold for data-analytic multivariate models? Or is it simply enough to let a machine do it, with no knowledge by the machine operator of how to interpret the results from those modeling efforts? Or is it true, as one person has recently asserted, that he could replicate ALL statistical procedures and techniques using MapReduce, without knowing anything about statistics and probability, or the vast collection…

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Added by Bill Luker Jr on April 28, 2014 at 6:51am — 2 Comments

Oil and Gas Solution built on Data-Tactics’ Big Data Engine

The Big Data Yawn

Over the past couple of months we have met with a number of oil and gas executives to demonstrate our Oil and Gas Solution built on Data-Tactics’ Big Data Engine (BDE). During these conversations it has become obvious that the very mention of "Big Data" produces an involuntary physiological response among business leaders - eye rolls and yawns. It appears that big data has reached the Gartner "trough of disillusionment". These executives have heard from a bewildering…

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Added by Sullexis LLC on March 10, 2014 at 6:00am — No Comments

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