Artificial intelligence can make a huge difference in a company, from fixing large challenges to...
Artificial intelligence can now without a doubt make a significant difference within a company, from addressing complex challenges to fundamentally changing a business model. That’s why, two years ago, Microsoft established AI Business School to give advice to important decision-makers across sectors on strategy, culture, responsibility, and other vital themes.
It’s no easy task to use AI comprehensively and successfully, and we certainly don’t have all the solutions. However, through our work with company leaders through AI Business School and in customer interactions, we’ve come across a few firms that have set the standard for what an AI-powered organization can be.
That’s why they developed Best of Business AI 2021: to highlight clients that have shown how to develop a complete plan and execute it across the company to generate business value and momentum through digital transformation. Best of Business AI 2021 is based on the AI Business School principles and showcases ten clients that are advancing their AI journey by aligning their business goals and technological capabilities via great leadership.
Include everyone in your organization
Companies that effectively use AI recognize that it is more than a technical or leadership issue. They undertake in-depth discussions with workers to see how each department of the company might benefit and be impacted. Outokumpu has been involving employees from the start, giving them access to data and AI models so they may make the best decisions possible in their daily job.
“You have to get trust from the leadership team, talk to people about the rollout, and get everyone on board,” says Stefan Erdmann, Chief Technology Officer of Outokumpu.
Use AI to boost your business’s worth
AI may assist you in solving complex challenges, but it also has the potential to open up new doors for development and success. HOCHTIEF is monetizing its new AI competence by providing AI applications as a service to customers.
“We’ll bring all of these solutions to market, and we’ll have a new business model,” says David Koch, HOCHTIEF’s Chief Risk, Organization, and Innovation Officer.
Choose a good starting point
Begin by identifying the appropriate use case for AI, and then make sure you share your findings on a regular basis. At CES 2019, Bell demonstrated its vision for AI and how it may impact the business and industry through an augmented reality experience. The firm and the IT world were fascinated by the event, and the company has continued to build on that enthusiasm by making steady progress toward its big goals.
“Highly iterative, incremental proofs of concept—demonstrating something every three to six months—are the greatest approach to get and maintain the attention and endorsements from senior leadership,” explains Matt Holvey, Senior Manager of Intelligent Systems at Bell.
Connecting business and technology
Everyone in your business is there because of their knowledge and experience. Empower them to collaborate, invent, and contribute to the development of innovative AI solutions. For the biggest effect, AI specialists and product experts collaborated with Mondelez International.
“On one side, we have our data science, modeling, and simulation expertise,” explains Rob Hargrove, Executive Vice President of Research, Development, and Quality at Mondelz International. In our product teams, we have professionals in biscuit, chocolate, gum, and candy creation. Neither side has a complete understanding of the other’s role. So they understand that they can’t function in silos because neither side would succeed.”
Put values into action
As with any major technology innovation, AI might have unexpected outcomes, such as privacy concerns and security breaches. Implement principles, practices, tools, and governance to assist your business in anticipating and mitigating risks, as well as ensuring that the ultimate outcome is consistent with your values. Creating governance tools and procedures at AXA was not only the proper thing to do, but it also allowed the organization to learn more about their business and how they might best serve their consumers.
“It is our job to appropriately manage the data that the consumer chooses to provide with us,” says Jerome Lafon, AXA’s Head of Connected Car Business Domain, Data, and Tech Innovation.
Collaboration with other organizations
Responsible AI implementation frequently necessitates collaboration with other enterprises, connection with end-users, and coordination with government agencies. Seek advice from others and apply what you’ve learned to help others when you can. OceanMind is a non-profit organization that collaborates with others to better understand the effects of human activities on the seas.
“We can utilize AI to assist enforce fisheries legislation and to help authorities make better judgments,” says Kanit Naksung, Director of Fish Quarantine and Fishing Vessels Inspection Division at the Thailand Department of Fisheries, which is cooperating with OceanMind.
Prove it, then scale it
Once you’ve shown that something works, invest in spreading it throughout your company. Invest time and money in analyzing AI technologies and devising ways to broaden their reach. At DHL, this included putting in place the necessary infrastructure, as well as providing assistance and communication as the project progressed from proof of concept through productization.
“We are adopting such mature digital solutions in practically every one of our sites,” says Markus Voss, CIO, and COO of DHL Supply Chain. Every customer, every facility, and every one of our workers should be aware that the world of the supply chain is changing.”
Prioritize for the most impact
Because you can’t tackle all of your problems at once, prioritize your efforts by weighing the costs and rewards before establishing what success looks like. You may discover, as CSIRO did, that AI is in high demand everywhere, but you must choose carefully so that your work has genuine value.
“Everyone wants to work with our AI experts, both within the organization and outside CSIRO,” says Jon Whittle, Director of CSIRO’s Data61. “The danger is that you get pulled in too many different directions, and you are no longer able to make a difference in any area because you tried to do too many things.”
Empower everyone
Good ideas may emerge from everywhere, which is why Grab’s “AI everywhere” strategy is working so well. Non-technical personnel collaborates with experts to transform concepts become reality.
“You truly access the potential of AI when people accept and have belief in what you’re trying to achieve with it,” says Wui Ngiap Foo, Grab’s Head of Technology.
Put your data to work
Data may be utilized in unusual ways to improve and expand human skills. Data generated fresh ideas and inspiration for WPP’s designers and marketers, allowing them to be even more creative.
“Data isn’t dull; it can actually inspire and amaze,” says Di Mayze, WPP’s Global Head of Data & AI. And that’s exactly what we want: data and creativity to collaborate and celebrate together! ”
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