Data variety, velocity, veracity, volume and sources are among the top factors in whether an organization can successfully integrate disparate data.
Hypothetically, smart buildings wouldn’t be hard to create—at least not entry-level smart buildings. With a handful of interconnected systems, such as equipment monitoring, climate control, and security, and a few dozen to a few hundred data-gathering devices, any preexisting structure could become a “smart” structure in short order. We already have access to IoT devices like smart speakers, security cameras, robot vacuum cleaners, thermostats, and more, and they aren’t ridiculously expensive.
Data management refers to planning, building and running such capabilities; governance relates to monitoring, evaluating and directing enablers.
Data management and analytics, security and artificial intelligence are among the technology areas where organizations must make their investments for IoT payoffs.
Massive-scale predictive analytics is a relatively new phenomenon, one that challenges both decades of law as well as consumer thinking about privacy.
As a technology, it may well save thousands of lives in applications like predictive medicine, but if it isn’t used carefully, it may prevent thousands from getting loans, for instance, if an underwriting algorithm is biased against certain users.
I chatted with Dennis Hirsch a few weeks ago about the challenges posed by this new data economy.
It was an ideal time for online lenders to arrive in Silicon Valley. After the financial crisis of 2008, banks who were the first choice as lenders for everyday people took a little bit of time to comprehend the way in which customers wanted to access credit and they were not ready to take any kind of risks. They failed to focus on the needs and demands of customers and instead they concentrated on capital constraints and other regulations that were proving to be a challenge for them.
DataStax Inc, a data management platform, is gearing up for an initial public offering (IPO) this year that could value the company at more than $1 billion, people familiar with the matter said.
Cloud computing has disrupted the digital technology sector in surprising ways. According to some estimates, the market is expected to rise to $411 billion by the end of next year. The rapid growth can largely be attributed to advances in artificial intelligence and big data. However, despite some of the fascinating advances, there are still some obstacles and limitations. Contrary to popular belief, cloud computing has not eliminated the need for traditional data recovery solutions.
Robotics, artificial intelligence, 3D printing ... These technologies are all helping to fuel the Fourth Industrial Revolution, the impact of which will create a seismic shift in how businesses compete and succeed.
A Chinese startup that’s taking a dorm-like approach to urban housing just raised $500 million as its valuation jumped over $2 billion. Danke Apartment, whose name means “eggshell” in Chinese, closed the Series C round led by returning investor Tiger Global Management and newcomer Ant Financial, Alibaba’s e-payment and financial affiliate controlled by Jack Ma.
Four years ago, Beijing-based Danke set out with a mission to provide more affordable housing for young Chinese working in large urban centers.