If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
NTT Ltd. delivers superior assistance to enterprises in making digital transformation that will improve both efficiency and productivity Based on its recent analysis of the Thai enterprise systems integration market, Frost & Sullivan recognizes NTT Ltd. with the 2020 Thailand Enterprise Systems Integrator of the Year Award. NTT Ltd. has earned a unique position in the market as the only company to offer an end-to-end suite of solutions comprising Intelligent Infrastructure, Intelligent Cybersecurity, Intelligent Business, and Intelligent Workplace. NTT Ltd. collaborates with major service providers and vendors globally to shape and deliver business outcomes through these digital, connected, data-driven, and secure solutions. "NTT Ltd. brings together the unrivaled capabilities of its group of companies spanning technology services to delivery. The depth and breadth of its portfolio, backed by proven expertise, makes it the preferred partner for enterprise and government clients in Thailand that are embarking on digital transformation," said Krishna Baidya, Director, ICT.
These are times of monumental change. A phenomenon is creating a new normal, a paradigm shift so life-changing that it's rapidly transforming the way we live, communicate and do business. Life as we know it will never be the same again. The entire world is in the midst of an incredibly exciting revolution known as the Fourth Industrial Revolution. Changes are taking place at lightning speed.
No matter what industry you operate in, you'll have noticed by now that technology is changing the way we do business. Technology continues to evolve, and businesses need to keep up or risk becoming obsolete. Companies that continue to practice traditional business methods will find it more difficult to stay relevant and competitive. If they overlook the significance of digital transformation, they face an imminent threat of being outsmarted by more innovative players in the game. The day is coming when digital transformation will mean the difference between survival, and the ability to thrive in this technology-driven world.
According to McKinsey, data-driven organisations are 23x more likely to acquire customers, 6x more likely to retain customers and 19x more likely to be profitable. Being data-driven is good for business. Therefore, it is not a surprise that one question I always get when advising organisations is how to digitally transform your business and remain relevant in these fast-changing times. My first answer is to tell them that they have to achieve a gestalt shift, where they see their organisation from a different perspective. Instead of looking at your organisation from a product standpoint, you should see your organisation as a data organisation.
Even before there was a coronavirus pandemic, boards ranked digital/technology disruption as their top business priority for 2020 -- followed by obtaining the talent needed to execute tech transformation. But COVID-19 has escalated digital initiatives into digital imperatives, creating urgent pressure on HR leaders to work with their CEO, CFO and CIO to rethink skills needs as business models change at light speed. It's no easy task for this cohort to identify and acquire the digital skills their organization needs to pursue digital transformation as imagined post-COVID-19. And now companies must press forward under a new reality: Technology skills are no longer highly centered in IT; they need to be "marbled" across organizational functions and businesses and coupled with soft skills to achieve transformation success. Most companies are flying "data blind" with regard to the skills they need for transformation Understand 5 key shifts in workforce trends and know how to turbocharge your response with talent analytics.
In the age of digital transformation, an increasing number of organizations are looking to tap artificial intelligence (AI) technologies to streamline day-to-day operations and revolutionize their business models. Last week, the consulting firm, Deloitte, released its third annual "State of AI in the Enterprise." The report gives a detailed look at the ways in which organizations are utilizing AI and provides insights into concerns shaping enterprise adoption moving forward. The Deloitte survey offers a detailed overview of AI adoption across the integration spectrum. To better understand attitudes alongside adoption, enterprises are divided into three smaller subsects--seasoned adopters, skilled adopters, and starters.
Forrester Vice President and Principal Analyst Kate Leggett blogged the emergence of what she calls "digital-first customer service solutions." These types of solutions are characterized as delivering automated interactions over digital channels. She contrasts these with what she calls traditional customer service solutions that offer workflow-based inquiries, case management, and guidance for customer service agents. Diverse sales models and the changing needs of both customers and the business means most companies will find themselves adopting a mix of both. And while these solutions might seem different, they share a key similarity: a dependence on workflow and automation, some of the fundamental building blocks in digital transformation.
If ever there was a time for companies to truly commit to digital transformation, this is it. Surviving the most challenging economic conditions since the Great Depression, and thriving once the pandemic eases, requires flexible and imaginative thinking and the ability to manage the innovation process. It may be tempting during this pandemic to pull back the reins on innovation or hold off on product development, but that may not be the best idea. Times of uncertainty are also times of opportunity. No one knows when the pandemic will end, but it does seem clear that the pace of digital transformation has only accelerated.
Making automation easily understandable to everyone who needs to use it is an essential part of the ... [ ] technology's development - but why has this not been the goal from the beginning? Automation can save the job market, if put into the right hands. Digitally transformative technologies have become widely accepted by business leaders as a means of giving us a productivity boost akin to the industrial revolution. But as AI and automation technologies have been developed by the world's most influential tech leaders, they risk becoming inaccessible to the average end user. Enabling real people to utilize powerful automation tools will require a different approach to the current model of making technology so advanced and convoluted that the average user will never understand its inner workings.
Artificial intelligence has been put to amazing use providing great abilities for recognition, pattern and anomaly detection, predictive analytics, autonomous systems, hyperpersonalization, and goal-driven systems. However, AI systems can't do anything at all without access to data to train the machine learning models. And much of that data is locked in documents in paper or electronic form or in human-controlled processes. Often, a necessary first step to making any AI project happen is simply getting those documents and processes out of paper and human-based forms and into digital forms that a machine can understand. The notion of converting these analog assets into digital forms is known as digitization in the context of documents and information, and digitalization, in the context of processes and human-based activities.