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.
The internet of things has shipped out to sea. A number of remote sensing technologies have been employed to monitor various aspects of the ocean to improve weather forecasts, safer resource exploration, and climate change mitigation with benefits to companies, policymakers, and the planet.
Companies are better today at predicting consumer behavior than at any moment in time. How do they do it? Big data. In this article Saman Musacchio takes a look at the latest research and development trends and what they mean for the future of innovation.
Leaders need to develop a ‘habit of knowledgeability,’ according to Haydn Shaughnessy, who has written extensively on change and innovation for Forbes, WSJ, InnovationManagement and HBR, among other noteworthy publications. In this article, Harun Asad expands on this notion and suggests how to build and implement a strategic intelligence platform that facilitates advancing innovation.
According to McKinsey’s first annual survey on the topic, most C-level executives say that the three key trends in digital business are big data and analytics, digital marketing and social-media tools, and the use of new delivery platforms such as cloud computing and mobility. These form the strategic priorities at their companies. However, they also report some tough challenges. Nearly half of respondents say their companies’ investments in digital initiatives are too small to deliver on their goals.
Social media has already fundamentally changed the way many of us live our lives or do business. In coming years its role in almost every aspect of public, private, political, commercial and community life is likely to grow; it could be seen as digital recombinant DNA, central to everything but changing and being changed, made up of millions of bits and bytes, with multiple roles, instructions and connections. This extended trend alert indicates some of the trends affecting the current development of social media, as a prelude to further discussions at a forthcoming foresight meeting in London; it does not claim to be comprehensive, but a jump off point.
The amount of data organizations are expected to manage for planning, transparency, compliance, etc. is expanding, but the amount of data which could benefit these organizations if analysed effectively is growing exponentially with the aid of social media, RFIDs, machine translators, and other tools. The total amount of digital data is growing exponentially leading to the coining of the term big data which has become a major buzzword in the enterprise and even in the general press, but what is the real value behind the hype?
Mobile health apps are set to change the way individuals can look after their health, doctors can diagnose and monitor patients, and medical research can collect data and develop their research. As health apps go from ‘dumb’, i.e. use only aggregated or limited personal data to intelligent using personalised health records and genetic data, a revolution may be underway.