Qmarkets

JUNE 16, 2017

Over the last couple of decades, Silicon Valley has been responsible for inventing and reinventing all kinds of gadgets and technologies: the music player, the phone, the watch, the TV and the computer itself. In their view, cars are an old, inconvenient technology, destroying lives, polluting the air, and contributing to global warming.

Industry 56

Industry Technical Review Software Review Disruption 56

Anaqua

MARCH 4, 2019

As we prepare our 2018 year in review of the USPTO patent and publication statistics, we see a year where patent quality and utility to the patent owner is more important than ever. We are seeing the emergence of new technologies, such as autonomous vehicles, and we had the USPTO release its 10 millionth patent. percent from 2017.

Technical Review 40

Technical Review Trends Roadmap Big Data 40

Anaqua

MARCH 4, 2019

As we prepare our 2018 year in review of the USPTO patent and publication statistics, we see a year where patent quality and utility to the patent owner is more important than ever. We are seeing the emergence of new technologies, such as autonomous vehicles, and we had the USPTO release its 10 millionth patent. percent from 2017.

Analysis 40

Analysis Technical Review Trends Roadmap 40

Harvard Business Review

FEBRUARY 9, 2016

Big Data has quickly become an established fact for Fortune 1000 firms — such is the conclusion of a Big Data executive survey that my firm has conducted for the past four years. Among the findings: 63% of firms now report having Big Data in production in 2015, up from just 5% in 2012.

Big Data 15

Big Data Data Technical Review Agile 15

The Inovo Group

OCTOBER 10, 2018

New software technologies and tools will make it possible to create Startup Collaboration Platforms that enable the relationships to become more automated, structured and efficient. They had recognized that many innovative initiatives fail in the early stage of development due to, among other things, a lack of secure funding.

Collaboration 40

Collaboration Technical Review Software Review Trends 40

Linda Bernardi

JULY 24, 2017

It is due to the confluence of six factors: 1. Mega Data 2. The reasons are discussed in detail in my upcoming book, The Inversion Factor (MIT Press, October 2017), but I will unpack some of them here. We are past Big Data (which occurred with the advent of mobile, apps and social media), and are in the Hyper-Data stage.

Artificial Inteligence 29

Artificial Inteligence Technical Review Agile Software Review 29

Harvard Business Review

JULY 14, 2017

If 19th-century urban planners had had access to big data, machine learning techniques, and modern management theory, these tools would not have helped them. Extrapolating from past trends is useful but limiting in a world of accelerating technological change. They simply would have confirmed their existing concerns.

Artificial Inteligence 15

Artificial Inteligence Big Data Brainstorming Industry 15

Harvard Business Review

FEBRUARY 15, 2018

Six years ago, the primary focus of questions and answers in the survey was big data, which was relatively new on the business scene. There is both a stronger feeling that big data and AI projects deliver value and a greater concern that established firms will be disrupted by startups.

Data 15

Data Artificial Inteligence Culture Big Data 15

Harvard Business Review

APRIL 14, 2017

And in January 2017, McKinsey’s research arm estimated AI-driven job losses at 5%. My own firm released a survey recently of 835 large companies (with an average revenue of $20 billion) that predicts a net job loss of between 4% and 7% in key business functions by the year 2020 due to AI. AI wasn’t new at Microsoft.

Artificial Inteligence 17

Artificial Inteligence Company Technical Review Survey 17

Harvard Business Review

OCTOBER 17, 2018

New research from the McKinsey Global Institute simulates the potential global macroeconomic impact of five powerful technologies (computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning). We know that technologies often take a long time to diffuse and to deliver benefits.

Competition 14

Competition Artificial Inteligence Technology Survey 14

Harvard Business Review

DECEMBER 13, 2017

Historically, no matter how much money an organization spends on cybersecurity, there is typically one problem technology can’t solve: humans being human. billion in 2017, growing to $93 billion in 2018, all in an effort to improve overall security and education programs to prevent humans from undermining the best-laid security plans.

Artificial Inteligence 8

Artificial Inteligence Technical Review Learning Big Data 8

Harvard Business Review

NOVEMBER 7, 2018

Blockchain startups raised over $5 billion in 2017 through ICOs and over $12 billion through the first three quarters of 2018. The average amount of capital raised by a Blockchain project through an ICO in 2017 was $13 million; through the third quarter of 2018 it was $25 million. How ICOs Constrain.

Software Review 8

Software Review Technical Review Underperforming Technical Team Software 8

Paul Hobcraft

DECEMBER 2, 2016

So if there was ever a time to clear the existing innovation agenda and rework the entire space for innovating, it is about to become the pressing reality as we enter into 2017. We have seen an amazing transformation in how we socialize through the use of technology and the smartphone. The Merging Conditions and Forces.

Innovation 100

Innovation Technical Review Collaboration Software Review 100

Harvard Business Review

AUGUST 5, 2013

to accommodate the new demands — in particular, to acquire the skills to deploy emerging technologies like mobile, social media, analytics, and big data. This change enabled by technology must then be sustained over the lifecycle of the investment for all the expected value to be delivered. the IT function).

Big Data 9

Big Data Technology Agile Management 9

Daniel Burrus

DECEMBER 13, 2016

These trends for 2017 highlight enormous game-changing opportunities. Big Data and the use of High Speed Data Analytics. Big Data is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data. Advanced Cloud Computing Services.

Trends 0

Trends Technical Review Artificial Inteligence Software Review 0

ITONICS

MAY 14, 2018

Often, it’s due to the speed at which they can innovate and this has a lot to do with their size. In 2016, Harvard Business Review conducted a survey of 3500 company employees from Canada, UK, U.S., Due to this program, in Ingolstadt and Neckarsulm, the company had record savings of about €108.6 million in 2017 (23.4%

Company 57

Company Technical Review Software Review Innovation 57

Harvard Business Review

SEPTEMBER 19, 2016

At The Data Incubator, we help companies hire data scientists from our big data fellowship. a leading immigration law firm, to come up with a short primer for employees on technical visas. In the 2017 fiscal year, USCIS received approximately 236,000 petitions , up from 230,000 in the previous year.

Data 13

Data Technical Review Training Analysis 13

Harvard Business Review

OCTOBER 12, 2018

Netflix’s global growth is a big factor in the company’s success. By 2017 it was operating in over 190 countries, and today close to 73 million of its some 130 million subscribers are outside the U.S. Fernando Trabanco Fotografía/Getty Images.

Marketing 8

Marketing Video Strategy Strategy 8

Harvard Business Review

JULY 12, 2017

Yet in this short period, digital technologies have upended our world. Digital technology is widespread and spreading fast. Based on their stock prices on July 6, 2017 , Apple, Alphabet, Microsoft, Amazon, and Facebook were the five most valuable companies in the world. Digital players wield outsize market power.

Competition 8

Competition Artificial Inteligence Policies Technology 8

Harvard Business Review

FEBRUARY 9, 2018

If 2017 was the year that tech became a lightning rod for dissatisfaction over everything from the last U.S. Hostility to the internet appeared the moment the Web became a commercial technology , threatening from the outset to upend traditional businesses and maybe even our deeply-embedded beliefs about family, society, and government.

Technical Review 8

Technical Review Software Review Artificial Inteligence Technology 8