Goto

Collaborating Authors

 digital maturity


Pharma 4.0TM -- Key Drivers, Game-Changers, Technologies

#artificialintelligence

The Digital era has been a boon to the industry. But pharma manufacturers deal with increasingly complex challenges in this digital era. Pharma manufacturers need a holistic approach to increase quality, safety, transparency, agility, and productivity. Pharma 4.0TM, a term coined by ISPE (International Society for Pharmaceutical Engineering) is a concept adopted from Industry 4.0. The concept aims to bring in an interactive system, analytical data, advanced automation, and a simplified regulatory framework.


How APIs Breathe Life Into Machine Learning Organisations

#artificialintelligence

"API monetisation and API first strategies have become a new normal with businesses with digital maturity." The niche markets found even more niche business opportunities, thanks to the widespread adoption and development of APIs (Application Programming Interface). In their most basic form, APIs are doorways between two software applications and become extremely powerful when tailored to the needs of the developers. Web, mobile and automation are some of the key applications powered by APIs. According to a report by Google Cloud, API programs are the core drivers of digital transformation by playing a significant role in digital experiences, business operations, innovation, and growth.


Council Post: Enhancing CX Along Your Digital Maturity Journey

#artificialintelligence

Industries are shaped by innovation. For centuries, technology has been the key driver of definitive breakthroughs. In the early 1900s, it was Henry Ford's assembly line. During the 1990s, it was the World Wide Web revolution. Today, it is digital transformation.


What Separates Leaders from Laggards? Increasingly, It's AI

#artificialintelligence

In the years since the term "digital business" emerged, so too has our understanding of digital maturity. As it turns out, you don't get to the right-hand side of the maturity curve by merely collecting and using operational data to make business decisions. Companies now have access to entirely new categories of more meaningful data: unstructured data, Internet of Things (IoT) data, images, social data and more. Still, high data volumes do not equal digital maturity. Businesses need to know which data matters, and they need to be able to access and use it to operate with precision.


Digital Maturity Model and Digital Pivots

#artificialintelligence

Constant pressure on businesses to innovate and grow in a dynamic competitive environment has made digital transformation a top priority for businesses across industries. Organizations are devoting significant time, effort, and capital to digitally transform. Some achieve significant tangible results from these efforts. In search of the factors that lead to digital transformation success, we surveyed 1,200 senior executives knowledgeable about their organizations' digital transformation efforts. The findings from the survey, coupled with our own experience, show how organizations can structure their digital transformation initiatives to help ensure that they have a positive impact--in other words, that they're doing what it takes to become more digitally mature. In the pages of this report, we discuss in detail our findings on what tends to drive successful digital transformation. Digital transformation has risen to the top of organizational agendas. In a recent survey of US and European business and technology decision-makers, some three-quarters said their company had undertaken a digital initiative.2 But effort does not necessarily translate into benefit, and many organizations continue to struggle to translate the execution of digital transformation programs into tangible impact.


Why Now is the Time for Marketers to Embrace AI - ReadWrite

#artificialintelligence

Across industries, forward-looking businesses embrace AI as an opportunity to become more efficient and harness a multitude of data at their disposal. IDC predicted that business spending on AI/ML would grow from $12 billion in 2017 to $57.6 billion by 2021. The businesses that thrive in this new, AI-centric world will be those that make AI/ML a priority sooner, rather than later. That's why now is the time for marketers to embrace AI. While there have been significant advances in AI, the utilization of the technology remains in its infancy.


Better Financial Services through a Better Connected World - Huawei Publications

#artificialintelligence

The financial services industry is feeling the impact of the digital revolution. Maintaining growth and profitability is an enormous challenge for banks as they need to keep tinkering with the customer experience, not only to provide financial services for their customers, but also to stay more relevant in customer's lives and keep their attention. Digital platforms are fueling the on-demand economy by matching supply and demand in an accessible, low-cost way. Uber, Amazon, and Alibaba show the disruptive power of these "share" technology platforms, where buyer-seller interaction is high, a diverse range of goods are on offer, and the marginal cost of rolling out a new product or service is approaching zero. Fintechs are disrupting the industry by both cooperating and competing with banks for customer attention and thus their wallets.