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Many organizations are finding success with IoT projects by starting small, considering the short- and long-term value of initiatives, and looking at alternative ways to investigate issues for the information they need.
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What’s happening this week at the intersection of management and technology: Smart earbuds at work; adding cybersecurity to the executive job description; diving into data lakes
Eight out of 10 executives surveyed say that as the business value of data grows, the risks their companies face from improper handling of data increase exponentially. While digital advancements enable new opportunities for businesses to compete and thrive, they also create increased exposure to systemic risks. Success in the digital age will require a new kind of ethical review around how companies gather and use data.
Digital transformation is happening all around us, but it’s the foundation for a much more profound transformation still to come. With huge challenges facing humanity on many fronts — climate, disease, population, food and water — we need cognitive technologies to augment human problem-solving capabilities. And those technologies are almost here.
In a conversation with MIT SMR’s David Kiron and Sam Ransbotham, associate professor of information systems at the Carroll School of Management at Boston College and guest editor for the Data and Analytics Big Idea Initiative for the MIT Sloan Management Review, Jeffrey Bohn, chief science officer at State Street Global Exchange discusses how he is developing better trading and risk strategies for clients using State Street’s proprietary data and analytics.
Employee odometers and technostress; big data trumps analytics; profiling the chief data officer.
Organizations across an increasing number of sports and levels of competition are capitalizing on data to gain a competitive edge. Indeed, few industries have implemented data-driven decision making as successfully as sports. And learnings from the sports analytics revolution are applicable to a broad range of other industries.
The city of Amsterdam is becoming a model for “smart cities” through its innovation efforts to improve the lives of its employees and inhabitants. This case offers insights into what it takes to achieve these goals, including: taking the crucial step of doing an initial inventory of data available; using and integrating data from the private sector; and experimenting and learning from pilot projects.
Many major cities recognize the opportunity to improve urban life with data analytics, and are exploring how to use information technologies to develop smarter services and a more sustainable footprint. Amsterdam, which has been working toward becoming a “smart city” for almost 7 years, offers insights into the complexities facing city managers who see the opportunity with data, but must collaborate with a diverse group of stakeholders to achieve their goals. The city’s chief technology officer, Ger Baron, makes it clear that their efforts are still early days: “I can give you the nice stories that we’re doing great stuff with data and information, but we’re very much at a starting point,” he says.
Blockchain is a data storage technology with implications for business that extend well beyond its most popular application to date — the virtual currency, Bitcoin. Managers need to build their organization’s absorptive capacity around this topic for at least three reasons: (1) the potential effects on organizational value chains, (2) communication within and between organizations, and (3) benefits from cooperation.
IHG is gaining a competitive advantage from applying advanced analytics to pricing and marketing. “Addressing complexity, if you can address complexity in modern marketing, gives companies a competitive advantage that can take time for competitors to replicate,” say IHG executives Larry Seligman, Jim Sprigg, Angela Galeziowski, and Dev Koushik, in a group interview.
The past several years have been period of exploration, experimentation, and trial and error in Big Data among Fortune 1,000 companies, and the result has been a different story. For these firms, it is not the ability to process and manage large data volumes that is driving successful Big Data outcomes. Rather, it is the ability to integrate more sources of data than ever before — new data, old data, big data, small data, structured data, unstructured data, social media data, behavioral data, and legacy data. Guest blogger Randy Bean, CEO of NewVantage Partners, explains why the “variety challenge” has emerged as the top data priority.
Managers don’t expect to see machines displacing knowledge workers anytime soon. Instead, they expect computing technology to augment rather than replace the work of humans. But in the face of a sprawling and fast-evolving set of opportunities, what forms should that augmentation take? Davenport and Kirby, authors of “Only Humans Need Apply: Winners and Losers in the Age of Smart Machines,” examine what cognitive technologies managers should be monitoring closely and what they should be applying now.
This free on-demand webinar offers context for understanding cognitive technology offerings. It focuses on what technology capabilities will be available — and what tasks will still require human input. Topics include artificial intelligence, automation, and business rules for making cognitive technology functional. Presenters Thomas H. Davenport and Julia Kirby are co-authors of the forthcoming book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.
This week’s Tech Savvy looks at what’s happening in wearables at work, virtual reality in hiring, enhancing big data ROI, and digital transformation preparation. For instance, in a Netherlands warehouse, employees wearing smart glasses to pick orders show a 25% improvement in efficiency. And in big data, Wharton’s Eric Clemons notes that “Where big data analytics may create local fiefdoms, online social networks create distributed pockets of autonomous connection, affiliation, and even affection.”
Unlike agriculture, where cutting-edge technologies are being aggressively adopted, forestry and its related industries are something of a technology laggard. But the prospect of the industry using sensors in the field, both in sawmills and even embedded within trees themselves, is emerging. Eric Hansen and Scott Leavengood, both professors at Oregon State University’s Wood Science and Engineering department, discuss how the Internet of Things could help drive efficiency and improve quality in the forestry sector.
With the emergence of a digital economy over the course of the past two decades, leading companies have learned that they must act faster to respond to customer needs and competitive dynamics. The fourth annual Big Data Executive Survey confirms that Fortune 1000 firms recognize that faster time-to-insight correlates with success and will be the driving force behind Big Data investment for the years ahead.
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