The science of Machine Learning (ML) has been around since the 1970s, but low horsepower processors and limited data forced the progress of Machine Learning to slow down in the 1980s. Ever since Big Data has enabled the use of unlimited “variety, volume, and velocity” business data, Machine Learning resurfaced as a powerful game changer […]
Data Science Education: An Overview of Academic Programs in the USA
When the 2011 McKinsey report estimated that 2018 will witness a severe shortage of about “140,000 to 190,000 data analytics experts” in the US industry, the universities began to wake up to the need for new and improved US academic programs in Data Science Education. Moreover, in a 2012 blog post titled Big Data and Data […]
A Comparative Roundup of Business Intelligence and Analytics Trends: Product Development
Gartner has predicted that the current size of the global Business Intelligence and Analytics market is upwards of $16+ billion. The product development trends in this combined market have maintained the tempo of Self-Service Business Intelligence (SSBI) and guided data discovery with limited intervention from IT. The emerging need for “accessibility, agility and deeper analytical […]
An Artificial Intelligence Story: The Robot Boss and Data Operations
Hitachi became an instant sensation when it displayed its first robot in an IT Fair in 1970. Ever since, this Japanese technology company has made great strides in Artificial Intelligence (AI), and more recently, in Machine Learning enabled AI research, as demonstrated through their successive applications in robotics. After 45 years of tireless AI research […]
How are New Data Technologies Affecting Data Quality and Data Governance?
Data Quality and Data Governance have been an ongoing concern among global data technology vendors and enterprises for some time. Privacy and security issues are no longer the headaches of large enterprises alone; Big Data, Hadoop, Cloud Computing platforms, the Internet of Things (IoT), Platform-as-a-Service (PaaS) offerings, and social data have all added to rising […]
Is Machine Learning Ready to Take on Artificial Intelligence?
Machine Learning (ML) algorithms can learn from data and improve themselves. In a way, that learning process is akin to the way the humans learn from daily experience and improve their own skill sets. Artificial Intelligence (AI) facilitates “emulation of human thinking in actions. “So, together AI and ML are capable of delivering smart robots […]
A Comparative Study of Business Intelligence and Analytics Market Trends
The global Business Intelligence and Analytics market this year has already reached or is nearing $16.9 Billion, according to Gartner. The BI and Analytics market has undergone a major transformation from an enterprise IT-led, record reporting system to business-driven self-service data explorations. This turnaround of trends in Business Intelligence (BI) and Analytics indicates a larger […]
2017 Machine Learning Trends
Machine Learning (ML) has revolutionized the world of computers by allowing them to learn as they progress forward with large datasets, thus mitigating many previous programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve. When this unique technology powers Artificial Intelligence (AI) applications, the […]
How can Experienced Programmers be Trained to Become Data Scientists?
In the Data Science industry, the year 2018 will be the one to watch in US as the business community faces a severe demand-supply gap in Data Science jobs. McKinsey Global has projected fresh Data Science job openings of up to 180,000 in US alone. This forecast may very well reflect the global need for […]
2017 Predictions for Data Quality and Data Governance
The need in Enterprise Data Governance is to identify, develop, and structure organizational goals, governance practices, roles, and responsibilities for maximizing the earned benefits from those efforts. Global enterprises can no longer afford to procrastinate on possible Data Quality control approaches; they have to act now. In fact, Gartner warned that by the end of […]