Digital transformation: online guide to digital transformation

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Digital transformation is the profound transformation of business and organizational activities, processes, competencies and models to fully leverage the changes and opportunities of a mix of digital technologies and their accelerating impact across society in a strategic and prioritized way, with present and future shifts in mind. While digital transformation is predominantly used in a business context, it also impacts other organizations such as governments, public sector agencies and organizations which are involved in tackling societal challenges such as pollution and aging populations by leveraging one or more of these existing and emerging technologies. In some countries, such as Japan, digital transformation even aims to impact all aspects of life with the country's Society 5.0 initiative, which goes far beyond the limited Industry 4.0 vision in other countries. In the scope of this digital transformation overview, we mainly look at the business dimension.


17.10.31 AI Is Changing Marketing As We Know It, And That's A Good Thing

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It seems nearly impossible for any kind of marketing/advertising industry event or conference to not have at least one (or likely more!) session or panel discussion on the subject. Are we at "peak AI" or is this trend of great interest in the topic set to continue? The AI revolution in marketing, which I'll focus on in this post, has been spurred by the influx of affordable and accessible advanced data analytics tools (typically based on machine learning methods), the availability of increasingly rich (albeit still noisy) and extensive datasets, and a growing acceptance among marketers of the potential power of data-driven approaches to marketing decision making. The winds have been blowing in this direction for some time, so this is not a new phenomenon. However, it seems that now we are at the point where almost everyone is talking about it and (hopefully) thinking hard about how AI can and will change how they do things.


Why the Key to AI Success is a Tidy Data House Transforming Data with Intelligence

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Strong data management is critical to predictive and AI technology. Despite all the talk about artificial intelligence (AI), adoption has yet to reach its pinnacle. Many organizations are taking smart steps to implement new technologies. Instead of buying into the hype, they ask critical questions to garner the strongest ROI, resulting in a delay in broad adoption. Unfortunately, this is standard within the market.


AI Is Changing Marketing As We Know It, And That's A Good Thing

#artificialintelligence

Artificial intelligence (AI) seems to be the current business hot topic, including in marketing. It seems nearly impossible for any kind of marketing/advertising industry event or conference to not have at least one (or likely more!) session or panel discussion on the subject. Are we at "peak AI" or is this trend of great interest in the topic set to continue? The AI revolution in marketing, which I'll focus on in this post, has been spurred by the influx of affordable and accessible advanced data analytics tools (typically based on machine learning methods), the availability of increasingly rich (albeit still noisy) and extensive datasets, and a growing acceptance among marketers of the potential power of data-driven approaches to marketing decision making. The winds have been blowing in this direction for some time, so this is not a new phenomenon.


Reframing the Future of Work

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Future of work initiatives promise lots of noise and lots of activity, but to what end? When it comes to the future of work, many organizations are missing the point. Executives are creating new future of work initiatives every day, but to what end? Many of these initiatives suffer from being too reactive. For instance, managers may feel pressure to reduce costs by 20%, or the board might ask what the company is doing with machine learning and AI, but there are bigger and better goals leaders can aim for, and it's a critical time for organizations to focus their efforts.