Digital IQ in Artificial Intelligence
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Digital IQ in Artificial Intelligence

Digital IQ in Artificial Intelligence

A holistic approach to all the aspects of building a business process needs to account for the inclusion of digital infrastructure and capabilities. This article aims at evaluating the various parameters of digital intelligence.

Where are we, what is the context?

We are at the cusp of new changes and revolutions in how man and machine work together to increase efficiencies of scale and optimize the way we work. It has increasingly become necessary to work on our concepts of making work easier through the processes of digitization and redefining the way we think of intelligence – more so, in digital terms. Thus, it springs the concept of Digital IQ. Organizations today are increasingly focused on making technological revolution work in their favor and build upon their areas of gaining digital prowess in their respective sectors.

Challenges, much?

Overlooking the brighter side, we may also say that the digital revolution has even brought rather swift changes and not all organizations have been able to cope up with these revolutions as quickly as the others. To include a quantifiable standard to our digital conceptualizations, evaluating and working on the digital IQ may do us wonders. AI (Artificial Intelligence) and IoT (Internet of Things) have increasingly been used to make lives and profits easier.

Today, it is difficult to find companies not using the help and value addition potential of digital processes to make performance better. And, empirically companies with better technology standards can fare better in terms of comparative advantage and potential of growth.

The top organizations may easily be seen understanding how machines can make processes cheaper and more efficient while increasing the scale of production. They understand the value technology provides and delve more into the technological research and development. Commercialization today does not only involve better quality and branding of the product but also using the technological efficient resources to stand a notch above their counterparts. Innovations have now started involving digital models and prototypes to their basic working mechanisms.

Agile software developers

Some striking features of Digital IQ in artifcial intelligence are

Increasing usage in most industries

Apart from some conventional professions and industries like agriculture and heavy capital intensive industries, most of the other industries have grown and started employing more and better technological standards throughout the revolution. Technology has become much more inclusive and seemingly mandatory. Transformation in technology has overruled every other buildup.

The technology builds upon itself

Like building blocks, technology builds upon itself updating with every revolution and structural change. From mobile technology to computers and making applications for other digital infrastructure, everything is connected. We have already seen swift transitions in the highly competitive world of technology and we are yet to see much more. Automated cars and automatic learning robots are the next big things in the process.

Companies are looking for innovative ideas related to technological paradigm shifts

Hiring has added more and more digital skills to its pre-requisite. CEO’s are now looking for more innovative ideologies to increase the technological standards of their product-manufacturing processes. Strategic use of technology has paved the way for more tech-savvies to work.

More focus on consumer satisfaction

Due to the time and cost-cutting techniques in the digital processes, companies get more time to cater to the demands of their customers and work on their satisfaction increase in better ways. The focus has positively shifted to more customer-oriented service delivery and processes.

Organizations have started worrying more but not working more

The supply and demand equilibrium for production enhancing techniques has still got a long way to go. Companies have started evaluating that technology shall lead to better production but has rarely been able to move up that fast on the catching-up ladder. There is slow progress but increasingly consistent. Companies are on their way to progress.

Less and constrained resources

The resources being very new have been sufficiently limited and innovations are difficult to capture always. A good deal of research and development goes behind productive innovations and many organizations generally do not find easy investments in such a challenging genre. It usually takes up a lot of resources to gather a dedicated team of technological experts.

Digital infrastructure is a complement to human developmental research

Rather than being a perfect substitute for human faculties and prowess, technology serves more as the facilitator for the enhancement of ideas and equipment. Thus, a necessary buildup of digital IQ seems like a valid option for emerging organizations. Training your workforce and enlarging their skillset will help companies to magnify the scale of their production processes.

A recent example of this is the concept of smart factories inaugurated by various enterprises for the production of electrical protection and connection solutions. 

Final Words about digital IQ in AI

Digital IQ Solutions will explode the transformation effects of the AI industry. Data has been increasing at a rapid rate and with it, the cost of handling, interpreting and analyzing it to harness the real value of the business. Enterprises need to work on their digital quotient to stay ahead in this game.


cto - Chris Gibas

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