Companies once deemed “too big to fail” are increasingly exposed to failure. The threat of disruption is everywhere. Startups are taking on the Goliaths in every market. Scores of malls across the United States are in collapse. Many household brand names are losing ground or even shutting completely. Regardless of industry, businesses face digital Darwinism, the evolution of technology and markets. Disruption is just a matter of when, where and why. To compete, executives must make tough decisions but more so, they must look to new horizons for new insight and direction. Whether companies thrive or cower in the face of digital Darwinism is a choice.
Business Intelligence software is an essential tool for analyzing your company’s strengths and weaknesses. From inventory management, to accounting, to customer intelligence and beyond, there are many ways you can use BI software to inform your decision-making, increase operational efficiency, and gain a competitive edge.
These days, when migrants arrive at a refugee camp, one of the first things they ask for is access to WiFi and electricity to recharge their cell phones. Their smartphone is as basic a resource for survival as food and water. This is a vivid reminder of the fact that we are fully immersed in a digital world.
The keyword “Industry 4.0” is no longer an empty cliché or a black box; it is currently probably the most important topic within the German economy. Not only will existing processes be revolutionized – but also new businesses and business models will arise. More and more companies have already started to tap into its potential.
Marc Vollenweider has spent over 15 years guiding Evalueserve to become a global research, analytics and data management solutions provider. In this week’s episode he discusses his transition from being a McKinsey partner to founding a business employing over 3,500 people as well as the counter-intuitive benefits arising from simplification and automation.
Too many notes, Mozart was once told. Too many ideas, we might say today. The culture of innovation is awash with idea generation and its sidekick, fail-fast fail cheap innovation. Worse, we need a culture of transformation not just innovation. Accenture recently reported that 81% of executives they interviewed see platforms as central to their strategy over the next three years.
Paul Brody is a Global Innovation Leader in BlockChain Technology and a Solution Leader in the Industrial Internet of Things at EY. Paul has spent more than 15 years in the electronics industry and has done extensive research for his clients on technology strategy. Paul understands that technology is deeply rooted in strategy, but it gets complex as new technologies and disruptions arise in our modern world. For example, the moment self-driving cars are perfected, it will cause a huge disruption in our economy, so how can we navigate through it?
Customer insight, data & analytics have become an integral part of customer experience. With constantly rising customer expectations and an increasing demand for a quicker service, more channel choice and a highly personalised interaction, the only way you can achieve all three of these and ensure you’re providing an excellent CX is by truly knowing your customers.
We are all part of a giant transformation, “digital world is eating up physical world” – enterprise, individual, activity, relationship, emotion, etc., almost every entity around us is getting through some degree of digitization. Michael Wei, Director of Samsung AI research center in the US, discusses the current developments, activities and challenges in artificial intelligence and its part in the digital transformation agenda.
We live in an age of change and uncertainty. For businesses, this means that only the most versatile survive —innovate or die. Simply adapting to the digital age is not enough: company survival requires explorative business strategies, to find new opportunities to improve and renew products and services. To attain explorative success you need a combination of both deliberate thinking and intuitive thinking. This article explores how you can balance the two.
Parking can be one of life’s frustrating experiences- trying to find a spot, hunting for change or an attendant to pay, or the ever infuriating experience of receiving a ticket. The “internet of things” (IoT), a combination of sensors, analytics, and communications infrastructure is transforming parking and many other everyday tasks.
Africa is growing – economically, in terms of population, and more importantly in terms of investment and market opportunities. Investments in internet and mobile technologies are critical to enabling that growth and these are growing too. Some are also suggesting that Africa could leapfrog other markets and jump straight to the cognitive computing era, enabled by the latest technologies and rapid expansion of big data, which would be a real game changer not just in Africa, but world-wide.
Palantir Co-Founder Stephen Cohen articulates how to approach a deeper understanding between knowledge and data that is quantitative versus qualitative in nature. Recognizing the depth and subtlety of the qualitative domain, in contrast to what is precisely definable, says Cohen, provides scientists and entrepreneurs with a new and valuable perspective on solving problems.
Normal, routine activities from daily life generate large amounts of data. Who owns this data, has access to it, and what they can do with it is largely unregulated and undisclosed. Little-by-little more and more aspects of daily life are recorded and stored meaning very little of what you do, where you go, and who you see is not being watched and recorded.
Big data is a hot topic in the business press. Its promise of greater insights and efficiency, improved innovation and competiveness, not to mention income streams for the providers of data analytics tools are a rich source of discussion. Several recent developments indicate the power of using data analysis and statistics effectively to reach conclusions, and we almost certainly ‘ain’t seen nothing yet’ as big data techniques emerge. However, statistics do not necessarily tell the whole story and are open to radically different interpretations. That said, the power of numbers and modelling is rising.