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The Fourth Industrial Revolution

Irving Wladawsky-Berger

Most everyone agrees that there was a major qualitative distinction between the First and Second Industrial Revolutions.  Impact on Business.

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

Such competitive concerns have long applied to hardware and software platforms in the IT industry.  This is now coming to pass.

Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

How can we best anticipate the future of a complex, fast changing industry like IT? Data Centers → Cloud.

Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

Six disruptive data-driven models and capabilities are reshaping some industries - and could soon transform many more : .

Data 75

Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Complex Systems Education and Talent Innovation Management and Leadership Society and Culture Technology and StrategyLet me explain.

Preparing Students for an Increasingly Complex Business World

Irving Wladawsky-Berger

Economic Issues Education and Talent Innovation Management and Leadership Society and Culture Five such soft competencies were identified:   .

Blockchain Can Reshape Financial Services… But it Will Take Significant Time and Investment

Irving Wladawsky-Berger

The future of financial infrastructure report is based on a year long study involving industry leaders, regulators and other subject matter experts.

The (Uneven) Digitization of the US Economy

Irving Wladawsky-Berger

The Index is then used to quantify the extent of digitization in 22 industry sectors. Build - or buy - the capabilities of the future.

Data 84

The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

The social matrix, the Internet of all things, big data and advanced analytics, and realizing anything as a services are the report’s top four trends. 

Trends 134

The Internet, Blockchain, and the Evolution of Foundational Innovations

Irving Wladawsky-Berger

Their article starts off with one of the best descriptions I’ve seen of the long-term promise of blockchain. They guide managerial and social action. 

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

Most IoT business models also hinge on the use of analytics to sell user data or targeted advertising.  The cost of connectivity. 

Data 116

Reflections on Storytelling

Irving Wladawsky-Berger

Oral narratives were used by many ancient cultures as a way of passing along their traditions, beliefs and learning from generation to generation. 

Design 121

As Big Data and AI Take Hold, What Will It Take to Be an Effective Executive?

Irving Wladawsky-Berger

Big data , powerful analytics and AI are everywhere.  What can executives do to create such a culture

Data 79

How Will AI Likely Impact How We Work, Live and Play?

Irving Wladawsky-Berger

Public safety and security.   “One of the more successful uses of AI analytics is in detecting white collar crime, such as credit card fraud.

The Digitization of the Economy

Irving Wladawsky-Berger

Over time, these same disruptive technologies and innovations led to the transformation of the economy and the creation of new industries and new jobs.

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Economic Issues Innovation Political Issues Smart Systems Society and Culture Technology and Strategy

The Era of Cognitive Computing

Irving Wladawsky-Berger

The Industrial Revolution led to dramatic improvements in productivity and standard of living over the past two hundred years.  players. 

New Tools Beget Revolutions: Big Data and the 21st Century Information-based Society

Irving Wladawsky-Berger

Smart leaders across industries will see using big data for what it is: a management revolution.”  .

Data 61

A Kind of Digital “Perfect Storm”

Irving Wladawsky-Berger

Our human nature and organizational cultures have not changed all that much in the intervening millennia. IBM barely survived. .

The Public Face of Science

Irving Wladawsky-Berger

In its Summary of Findings, the report highlights four major results. There are large differences in their views across a host of issues.”.

Reflections on the Education of Applied Data Scientists

Irving Wladawsky-Berger

Given my industry background and past teaching experiences , I will be personally involved in this last area of specialization.  .

Data 58

Could the End of Moore’s Law Be Near? If so, What’s Next?

Irving Wladawsky-Berger

What worries me about the future of Silicon Valley, is [its] one-dimensionality, that it’s not a Renaissance culture… It’s an engineering culture that believes that it’s revolutionary, but it’s actually not that revolutionary.  The IT industry is now going through something similar.  But, the progress is uneven. 

Price 35

Traditional Data Analysis and Data Science

Irving Wladawsky-Berger

I recently participated in an industry panel on Redefining BI & Analytics in the Cloud at a conference in New York. 

Data 35

Social Business in the Age of the Customer

Irving Wladawsky-Berger

Many businesses have set up social technologies in their organizations, yet few have truly made the technical, cultural, and process changes necessary to reap the full opportunities and benefits of these tools or the vast amounts of data they capture.  Many companies are still struggling with this major cultural transition. 

Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

Such work is underway in a wide variety of industries. Watson Research Center.  Challenge against the two best human Jeopardy!

The Co-Evolution of Humans and our Tools

Irving Wladawsky-Berger

Machine tools occasioned a surge in producing new tools in the industrial revolution.  Modern human behavior is closely associated with the origin of language, the accumulation of knowledge, skills and culture, and the ability to process vast amounts of information.  Brains and intelligence distinguish humans from all other animals. 

Tools 61

Leadership and Rational Thinking

Irving Wladawsky-Berger

and industries. This is an acute issue for the tech industry - but it actually applies in any field, from commerce to public services.” “But it's not just about what you create.  Complex Systems Economic Issues Education and Talent Management and Leadership Political Issues Smart Systems Society and Culture Technology and Strategy

What is stopping companies from measuring learning: Skillsets, datasets, toolsets or mindsets?

Xyleme

In short, learning and development organizations and departments are suffering from an analytics crisis. And this is a high-stakes issue.

The role of informal social networks in building organizational creativity and innovation

Ross Dawson

Evaluate your culture, structures and organizational climate for creativity. However this is often difficult in large, complex organizations.

The 20th Anniversary of Linux

Irving Wladawsky-Berger

In mid-August I traveled to Vancouver to attend LinuxCon , the industry’s premier Linux conference.  Most of the keynotes reflected on the impact of Linux on the computer industry and on society in general.  A number of additional activities were also planned to celebrate this important milestone. This is nothing new, he said. 

IBM’s Trip to Become A Socially Integrated Enterprise

Luis Suarez

That’s an important aspect of the role predictive analytics will play as social analytics evolve&#. Are we there yet? SIE ).

ROI 137

Why Innovation is Critical to Help Governments Adjust to the Realities of the 21st Century?

Irving Wladawsky-Berger

These include the consolidation of IT infrastructures, cloud-based shared services, advanced analytics and electronic self-service.  . Complex Systems Economic Issues Management and Leadership Political Issues Society and CultureThe private and public sectors have reacted quite differently to these structural changes. 

Cost 24

The Evolving Automotive Ecosystem

Irving Wladawsky-Berger

New software skills, representing a whole new culture are now needed.  This is an issue in many other industries.  Time will tell.  .

The New Era of Smart, Connected Products

Irving Wladawsky-Berger

These new types of products alter industry structure and the nature of competition, exposing companies to new competitive opportunities and threats. 

Embracing Disruptive Change - Why Is it So Difficult?

Irving Wladawsky-Berger

This is the innovator’s dilemma - and no company or industry is immune.”  . Cultural Limits. Circling the Wagons. Management Challenges.

Innovation in an Age of Austerity

Irving Wladawsky-Berger

This should create many new opportunities for innovation in the social sciences and the humanities.  A similar point was made later in the day by Mary Walshok , who gave a talk on Unraveling the Cultural and Social dynamics of Regional Innovation Systems.  And, how do you best predict the future impact of disruptive, new ideas?  Louis $.9

Becoming a Digital Business: Progress and Obstacles

Irving Wladawsky-Berger

Big data and advanced analytics is another digital business trend that has made significant progress in the past year.  Manage expectations.

Current Business Forecast: Cloudy

Andy McAfee

Silicon Valley’s largest  venture capital firms are raising their stakes in so-called enterprise companies, which provide software, analytics and other services to business customers. The technological and cultural gap between the giants and the start-ups is vast. As Evelyn Rusli writes. Where do you think the cloud is headed?

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

But it’s getting harder for our smart machines to truly impress us.  These questions have no easy answers, as we have learned over the years.

Why Do We Need Data Science when We’ve Had Statistics for Centuries?

Irving Wladawsky-Berger

Finally, beyond access to the appropriate skills, are there cultural and management implications in embracing data science in the business world?