Author Archives: GilPress
Python, Java, and R are Most Popular Machine Learning Programming Languages
Source: Jean Francois Puget Data based on job descriptions on indeed.com
Data Science Skills: Domain Expertise, Programming, Statistics
Source: Business Over Broadway Based on a study of 620+ data professionals, we found that data science skills fall into three broad areas: domain expertise (in our case, business), technology/programming and math/statistics.
IoT Leaders and Market Opportunities
Source: Forrester (HT: PTC) Industrial applications are set to be the core focus for IoT Managed Security Service Providers (MSSPs) with ABI Research forecasting overall market revenues to increase fivefold and top $11 billion in 2021. ABI Research forecasts that … Continue reading
33 Million Voice Assistants by End of 2017 in US
2017 Platform Innovation Predictions: One or more of the platforms will enable direct person-to-person communication. Both Google and Amazon will release push notifications to proactively alert consumers of new updates. Google will introduce a compelling personal productivity offering, based on … Continue reading
Fintech Disruption, Automation, and Incumbents
Financial Times: To both cut costs and keep hiring the best client-facing bankers, the Wall Street firm plans to replace many back-office roles, such as in data collection and processing, with computer systems that can do the same job quicker, … Continue reading
World’s Most Innovative and Most Competitive Economies
Source: Bloomberg //widgets.weforum.org/global-competitiveness-report-2016/ Source: WEF
2017 Tech Investment Priorities
IDG: In 2017, IT leaders will be increasing investments in numerous applications and platforms with business intelligence & analytics (71%), securing enterprise information assets (59%), CRMs (47%) and mobile enterprise apps (46%) leading the pack. Additionally, tech leaders shared their … Continue reading
In Praise of Automation
The McKinsey Global Institute: The automation of activities can enable businesses to improve performance by reducing errors and improving quality and speed, and in some cases achieving outcomes that go beyond human capabilities. Automation also contributes to productivity, as it … Continue reading
Questions about the self-driving car bubble
Artur Kiulian comments on Frank Chen’s 16 questions about self-driving cars: The major assumption is that “Everything that moves will go autonomous”, and we are not only talking about cars, all the trucks on our roads, drones in the sky, shopping … Continue reading
AI, Big Data, IoT, Cybersecurity, And Jobs: 2017 Predictions From Senior Tech Executives
‘Tis the season for the public relations exercise known as “here’s what we think (or hope) will happen in the tech sector next year,” flooding my inbox with predictions for 2017. No one knows what will happen tomorrow, let alone … Continue reading