Big Data

How Machine Learning Will Change Healthcare

The healthcare industry plays a critical role in our society, so it’s no surprise that it has been actively adopting the latest technologies. However, it hasn’t always been easy as healthcare institutions have had to find ways of protecting sensitive patient data while optimizing the system. One way they’ve been able to accomplish this is by leveraging innovative machine learning (ML) algorithms that can operate without human intervention.

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ux design

UX Design Triggers to Capture Users and Improve Sales

Can you guess a way to a successful design of your web or mobile product? One that will help you get much bang for the buck when marketing your site or app to end users?
Fitness Bracelets and Activity Trackers

How Wearables Work: Fitness Bracelets and Activity Trackers

Wearable gadgets have flown into our everyday life in the recent months and, despite many expert predictions that 2014 will not become the year of wearables, it's clear as day that wearable technology is here to stay forever. Smart fitness bracelets, smart watches and smart glasses are going mainstream gradually yet confidently, and will inevitably become commodity products soon just like smartphones and tablets.

NewsCastic: Intersog Becomes Web and Mobile Development Partner for Ski Nation, Inc

NewsCastic picks up our press release announcing app development partnership with Ski Nation, Inc.

Telemedicine: From Smoke Signals To Mobile Applications

The first form of telemedicine began with African villagers who used smoked signals to warn people to stay away from their village in case of serious disease. In the early 1900s, people living in remote areas of Australia used two-way radios to request medical advice and procedures from neighboring continents.
iOS & Android App Development Cost in 2015

Cost of Application Development: iOS vs Android

According to Google Trends, "app development cost" is one of today's most popular search terms in the United States and UK, with regional interest rates reaching 100 and 94 respectively.   Since iOS and Android are indisputably the two major mobile ecosystems as of now, let's see what makes up the app development cost for each of them, and how it can actually be reduced.
Python developers in Chicago

Some Cool Things You Can Do With Python

Python has taken over the developing space. In fact, it’s everywhere.

AI, Blockchain, and Big Data: FinTech Trends in 2018

Financial technology or FinTech is booming and its potential has got a lot of people buzzing about it (and no, I am not talking about cryptocurrencies).

Top 3 Cloud Computing Trends to Watch for in 2018

The great migration of data from on-premise storage to the cloud began in 2006 when Amazon released Simple Storage Service (S3) in 2006.

The General State of IT in 2018: Tech Trends, Stats, and Budgets

Spiceworks, a professional network for the IT industry recently released their annual report on IT budgets and tech trends.

How to Determine Data Lake Business Model Maturity

Most enterprises don’t need a big data strategy, rather they need to develop a robust business strategy that incorporates big data.

Python vs R: Which One is Better Suited for Data Science?

When contemplating the best programming language to use for data science, Python and R come to mind (almost immediately).

Why Big Data Projects Fail and How to Prevent it

Big data projects don’t fail because one particular reason, rather, it’s a combination of factors that eventually derail big data implementations.

How to Plan a Data Migration Project

Businesses in the digital age have a lot of storage and data options.

Key Enterprise App Development Issues And How To Tackle Them

Enterprise systems are becoming more complex and robust, heterogeneous and solid-state.

What Happens When You Combine Blockchain and Machine Learning

Blockchain and Machine Learning (ML) have been making a lot of noise over the last couple of years, but not so much together.

How To Create a Data Infrastructure: Video Guide

Our Chief Scientist Rob Grzywinski presents a step by step guide on how to create a data infrastructure system with the following requirements: It records sensor data (time, interval, value) One historical file (1+ year of data) Multiple updates per day (can miss days) Inserts and Updates (no deletes) It supports point-in-time queries It identifies data gaps It identifies additions and/or updates from a new feed This is an absolute must-watch for all data scientists and analysts!

[Intersog Podcast #4] Interview with Big Data and AI innovator Rob Grzywinski

Last week we had the honor to welcome our new Chief Scientist Rob Grzywinski in the Intersog Kyiv office where he hosted an internal Hack'n'Tell event for our developers and demonstrated in a step-by-step way how to create a data infrastructure (you'll find the video of his presentation in our blog next week).