The struggle to implement AI during digital transformation
Digital transformation is a multifaceted beast. While the implementation of more bog-standard items like ERP systems are well understood and fairly easily achieved, where does the enterprise stand when implementing emerging technologies such as artificial intelligence (AI) or machine learning?
Such concerns are leading governments to increasingly step in. One of the major perils lies in overreaching; in implementing too much, too fast and being left with solutions for problems that don’t exist.
Helpfully, analytics firm EXL released its ‘best practices for orchestrating AI solutions’ white paper in November 2019, which recommended a number of methods to best implement AI, including a four stage process. The four, from first to last are: ‘envision and define’; ‘solution orchestration’; ‘operationalization’; and ‘shaping and scaling for the future’.
Succinctly, the first step involves identifying and limiting the scope of any implementation, with the report reading: “Long-term AI strategies are vital, but, the best results come from narrowing that vision so execution can occur in an iterative, agile manner.”
The second involves identifying the ‘real-world factors’ that could have a potential impact on the implementation: existing infrastructure, the state of data and the talent present at the company.
Third is related to properly rolling it out across the enterprise, what the report terms as ensuring “[the solution] solves the business problem or delivers the desired outcomes.” That includes determining the method of execution, ensuring change management procedures are in place and identifying areas where the solution can be reused with minimal alteration.
The final stage, meanwhile, is about continually evolving the AI strategy with an eye to the future, to avoid being left behind; as the report reads: “Organizations should continually evaluate what they want their operations to look like in the future, and how they can leverage their existing AI investment to shape and scale for that vision.”
Whether enterprises will heed such suggestions is yet to be seen. What is certain, however, is that, as as the technology becomes more realistically understood, 2020 represents something of a reckoning for the relationship of AI and business, as a PwC report outlined.
Searching for the Top 100 Leaders in Technology
The search is on for the Top 100 Leaders in Technology 2021 – nominated by readers of Technology magazine and open to all.
The initiative has been launched and nominations are now open, with the final, prestigious Top 100 due to be announced during Technology and AI LIVE running 14-16 September, beamed from London to the world.
This latest, definitive list of the leading executives and influencers in the industry will be announced at the event and shared across social media channels, this website, and presented in a special supplement that honours all of those named in our annual list.
The Top 100 Leaders follows on from the well-received Top 100 Women in Technology that BizClik Media Group (BMG) – publishers of Technology magazine, AI magazine and a growing portfolio of industry-leading titles – produced in March this year to coincide with International Women’s Day.
“The Top 100 Women recognised the incredible and influential women driving our industry,” says Scott Birch, editorial director, BMG. “The success of that initiative encouraged us to recognise the Top 100 Leaders – individuals championing everything that we love about technology and embracing best practice that’s good for business.”
Nominations are already coming in, with some notable highlights including:
Rhonda Vetere - Herbalife
Bryan Smith - Expedient
Nominate your Top 100 Leader HERE
The deadline for nominations closes on Sunday 1 August 2021, and it is free to nominate. The Top 100 Leaders will be announced across our platforms and at the LIVE event.