2.2 THE “NEW” BUZZWORD: “DIGITAL TRANSFORMATION”
Wikipedia Definition of “Digital Transformation”: “Digital transformation may be thought of as the third stage of embracing digital technologies: digital competence –> digital usage –> digital transformation, with usage and transformative ability informing “digital literacy”. The transformation stage means that digital usages inherently enables new types of innovation and creativity in a particular domain, rather than simply enhancing and supporting the traditional methods.”
Digital Transformation really means “Digital Fungibility.” What??? While “transformation” is the act of making substantive change, “fungibility” is the intrinsic ability to be substantially changed.
A tactical approach to digital transformation centers on using new tools and related processes to get better results. Those new tools are based on new or reworked ideas, so they’re not a direct substitution for the tools you already have.
What’s key is that they make you think differently, as the Internet, cloud computing, and mobile computing have done.
Thinking differently is perhaps the most important ingredient in digital transformation, in fact. If you keep thinking the same, all that new technology will be used to do more of the same. That’s the opposite of transformation.
As our relationships to technology continues to evolve, machines are able to learn and adapt to their environments. Artificial Intelligence (AI) is able to work collaboratively with human professionals to solve intensely complex problems. AI stands to become one of the most disruptive forces in the IT world.
In the age of Digital Transformation, practically everything can be measured. Every important decision can and should be supported by the application of data and analytics. AI, Machine Learning (ML), Deep Learning technologies like Apache MXNet that runs on AWS, and Neuro-Linguistic Programming (NLP = encompasses the 3 most influential components involved in producing human experience: neurology, language, and programming) have become mainstream in the past year. The democratization of data, the self-service movement in AI/ML tools and data’s continued simplicity means more people will be leveraging it in more applications. Technology is sharpening the workforce & putting the power of data into the hands of business users. When we effectively scale ML, we can greatly increase the action-taking bandwidth of an enterprise.
Shifting data science from an ivory tower function and giving everyone in the organization access to advanced, interactive AI will help each employee become smarter and more productive. When data can inform each and every decision a business user is making, businesses will see a real competitive advantage and business outcomes.
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