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article imageWhat is digital transformation’s future? Special

By Tim Sandle     Dec 16, 2020 in Technology
The next stage of digital transformation for many firms is with the wider adoption of artificial intelligence (and more specifically human-centric AI). A further innovation is with the adoption of prescriptive analytics.
To gain a deeper insight, Digital Journal caught up with George Young, Global Managing Director of Kalypso (a professional services firm) around digital transformation’s future, the need for prescriptive analytics to drive digital, the shift to a human-centered approach for AI initiatives and more. The points discussed were posed by Digital Journal.
Value chains will be connected by a digital thread as digital transformation initiatives accelerate amid the ongoing pandemic
The COVID-19 pandemic accelerated digital transformation. Enterprises will need to solidify digital foundations and ecosystems to meet near-term demands while building long-term resiliency and flexibility. The digital thread will be key to accelerating digital transformation initiatives into the new year by uniting and integrating IT and OT data into a seamless flow of data. The digital thread of information will need to span the entire value chain – from market/customer insights to product design, to plant and end user – in order to deliver business growth, improve operational excellence and enable risk mitigation.
A key component of digital thread’s success are digital twins. Digital twins will accelerate product development timelines, cut costs and reduce risk by virtually modeling and piloting the entire supply chain, from requirements collection and design to factory layout, capacity, scheduling, processing, manufacturing and servicing in the field.
Successfully leveraging digital thread and digital twins will be a key factor for success as manufacturers adapt to the new normal in 2021 – and benefit from it.
COVID was the match that lit the digital transformation fire. Enterprises must catch up now or get left behind forever.
In 2021, the window will close on the digital transformation’s competitive advantage. COVID proved digital transformation’s value, and companies that don’t tackle high priority business problems with digital now will see their competitors pass them by.
Companies that moved on digital transformation in 2019 or early 2020 are reaping the benefits of never skipping a beat since they sent their employees home in March. They know how to develop new and complex products from home with an integrated tech stack enabling digital twins. For products already in the market, they are turning on AR or VR remote service offerings seamlessly.
We’ll see enterprises on the verge of being left behind throw out their digital transformation roadmaps, as none will prove worth the investment at this point in the game. Alternatively, we’ll see these enterprises identify one or two high priority business problems in innovation, productivity or risk management and solve them with proofs of value in data science, smart connected products and operations and digital product creation.
Addressing a problem will show instant value, drive user adoption and create a new roadmap based on value rather than technology.
Digital transformation requires a best-of-breed solution ecosystem
An ecosystem of technologies, solution providers and architects will be key for powering successful digital transformation initiatives in 2021. Organizations will favor open architecture platforms to unite the best features of various IT, OT and engineering technology (ET) solutions over leveraging a single provider with a narrower tech stack, which can have limitations and impede results. This allows for the critical flexibility digital transformation initiatives require, allowing teams to quickly implement solutions and drive results. What’s more, by leveraging best-of-breed solutions and partners, businesses can create a closed-loop system to further improve outcomes by sharing input and output data across the ecosystem to continuously adapt to shifting conditions or constraints. By sharing information, organizations can minimize time, reduce effort and eliminate redundancy.
To help guide partner decisions, successful enterprises will adapt a collaborative development strategy, which includes:
Defining the purpose for partnering
Identifying the types of partners needed
Developing a partner management structure
This will deliver significant productivity, cycle time and efficiency gains and, ultimately, winning solutions.
Artificial Intelligence becomes less artificial in 2021
Even with a vaccine for COVID-19 on the horizon, how people work and interact has fundamentally shifted. In the new year, remote work will continue, social distancing requirements will remain, and supply chains will continue to face disruption. This new way of life demands a new way for companies to continue operations effectively across the value chain – from the product to the plant to the end user. The use of artificial intelligence (AI) will be the standard for addressing these challenges. However, without considering how humans will interact with and leverage these new autonomous systems, AI will fail. In 2021, enterprises will take a human-centered approach to AI initiatives, understanding user needs and values, then adapting AI designs and models accordingly, which will in turn, improve adoption.
Enterprises must put the same focus on people and culture as the technology itself for AI to be successful. Organizational change management (OCM) teams will be critical for driving digital transformation and AI forward by bringing people along for the change journey and setting the organization up for measurable results. Proper change management is the most important – yet overlooked – aspect of any digital transformation initiative.
Prescriptive analytics will be a key component for digital transformation success
Advanced analytics are becoming mainstreamed as businesses increasingly collect and analyze data across their organizations, with 35% of U.S. manufacturers deploying advanced analytics in the past three years. For AI to have a significant impact across the value chain, prescriptive analytics will be the catalyst to optimize performance. Prescriptive analytics will become an essential piece for scaling AI within organizations, by leveraging product and customer data to advise AI models on how to improve processes, adjust production and increase efficiency. Prescriptive analytics enables constant improvement with an AI model by continuously monitoring and adjusting based on evolving conditions. Prescriptive models can then enable decision automation, where the models can take the best course of action based on prescriptions. Going beyond predictive analytics to prescriptive analytics will ultimately enable digital transformation success for manufacturers in 2021.
More about Artificial intelligence, digital transformation, humancentric
 
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