Facing the future with confidence
Yesterday's futuristic scenarios have given way to technologies that businesses now take for granted and customers expect: lightning-fast computers, instantaneous communications and multilayered electronic capabilities. IBM knows that such accomplishments are a mere hint of what technology can do and how it can lead industries toward operational efficiencies in processes, resources, people and production. How, indeed, it can transform business.
Still, IBM is ever-mindful that technology for technology's sake is imprudent at best. Wisely considered and expertly executed technology-driven business transformation can help deliver repeatable processes and reliable - often predictable - outcomes, allowing businesses to gain greater confidence in their capabilities and better control over their company's future.
That perspective is at the heart of this ODIS area of interest. IBM business consultants and scientists — guided by a company's unique business strategy and vision — work to scrutinize a business, zeroing in on how people perform tasks so the work itself may be optimized, developing and refining collaborative tools, and enhancing technology-based education. Then the team uses the latest modeling and scenario-based tools to explore business transformation options, including associated costs of alternatives. And, because strategy and vision are ever-changing, IBM prepares companies for the future by helping them advance their own research efforts.
Micropractices IBM Business Transformation activities center around four results-driven micropractices:
- Advanced Workforce Analytics: Helping optimize the management of human resources through advanced analytical capabilities, including demand forecasting, capacity planning and skills matching
- Collaboration: helping businesses improve collaboration by pinpointing barriers and providing methodologies, tools and technologies to improve effectiveness
- Innovation Management: working with clients worldwide to help them advance their research capabilities and to explore joint activities
- Technology-Based Learning: using technology to help resolve educational challenges in academic, corporate and government settings
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More on research | Innovation Matters: Stream Data Mining Stream mining algorithms are being developed to discover useful knowledge from data as it streams in -- a process that isn't as straightforward as it might seem. |
More on the issue | IBM Systems Journal Papers on the tools, method and architecture which are evolving for managing unstructured information. |
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