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As conversational commerce becomes embedded into company operations, it has the potential to bring supply chains closer to customers, employees, and senior management.
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AI-driven interactions between customers and brands will soon be occurring more often. Messaging platforms such as Facebook Messenger and Slack will combine with AI to make sense of text — both conversational and written — and offer services in real time. Companies can prepare for this shift by choosing a platform, running experiments, and begin introducing AI to their customers today.
Social media is a tool that allows autistic workers to better express their unique abilities — and tech companies are taking notice. Software giants such as SAP and Microsoft are now actively looking to hire people with autism, and SAP plans to have autistic employees make up at least 1% of its workforce by the year 2020. “Only by employing people who think differently and spark innovation will SAP be prepared to handle the challenges of the 21st century,” says Luisa Delgado, a member of the SAP executive board.
At The Coca-Cola Company, one of the big challenges is how to understand customers who are a long pipeline away in the inherently intermediated world of hundreds of Coke bottlers. That means moving toward newer technologies to do more forward-looking analytics versus backward-looking analytics, says the company’s Remco Brouwer and Mathew Chacko.
One key positive of social media and social networking is that it encourages communication — between the organization and its customers as well as among employees in different departments or even different business units. But particularly among multinational companies, there is one key drawback: language. Even when companies designate an “official” language for communication, the language barrier can impede both outward-facing customer interactions and internal collaboration. One solution: employ a multilingual approach tailored to the organization’s needs.
Businesses are running into the issue of having analytics professionals who can’t communicate what they mean. Companies need to train their data scientists to explain how their work helps the business. A little communications 101 is in order, says Meta Brown, whose business has shifted from helping companies analyze data to helping them understand what their analysts are doing.
Executives become isolated if they don’t get on-point coaching and honest feedback. But too often, their “coaches” are people outside the company who don’t seem them in action. Robert S. Kaplan of Harvard Business School says that the better tactic is to get coaching from direct reports.
Skills such as applied math and statistics, negotiation and group dynamics, and persuasion can help you prepare yourself for careers in a fast-changing economy filled with ever-faster, ever-smarter computers, write MIT Sloan’s Erik Brynjolfsson and Andrew McAfee.
The capabilities of computers are now improving so quickly that concepts can move from the realm of science fiction into everyday life in just a few years, rather than a lifetime. Rapid advances in information technology — computer hardware, software and networks — are yielding applications that can do anything from answering game show questions to driving cars. But to gain true leverage from these ever-improving technologies, companies need new processes and business models.
Are you dropping the ball when it comes to conveying your ideas – about data, about creativity, about direction, about design – in ways that your audience really understands?
Universities can be major resources in a company’s innovation strategy. But to extract the most business value from research, companies need to follow seven rules.
In turbulent environments, market leaders must repeat innovations, establish customer networks, sense the flow of new products, and share responsibility for new strategy throughout the firm. They must also balance the firm’s capabilities for leveraging, strengthening, and diversifying its distinct assets or skills.
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