Attend IBM Insight 2015 to follow the latest trends in insurance analytics, including telematics, weather events and predictive customer insights. Check out this list of insurance-related sessions to begin planning your Insight schedule now.
The advent of weather analytics has come none too soon. From inventory planning to public safety, organizations around the world are looking to weather data to help inform their decisions. But can they stay afloat in a sea of big data?
Weather is both asset and liability to energy providers. Even in a world of renewable energy, adverse weather events can create power outages on a citywide scale. Using weather data analysis, energy providers can forecast outages with high levels of reliability, then prevent or mitigate them ahead
In weather prediction, the past holds the key to the future, allowing businesses to predict future changes in both the short term and long term. In particular, organizations can use market-level analytics to take stock of how weather affects consumer behavior, helping drive the business forward.
No one keeps a weather eye like the property and casualty industry does. In their incessant quest to mitigate and prevent natural disasters, insurance providers can be among the chief beneficiaries of weather analytics, gauging weather-related risks to protect insured assets and avoid incurring
Weather’s power over us is undeniable. But now big data analytics can help enterprises take advantage of forecasts to anticipate how the weather is going to influence consumers, and then measure, monitor, predict and execute strategy against a nonstop flow of weather data.
Attend IBM Insight 2015 to watch the semifinalists in the Hack the Weather hackathon present their projects to a panel of judges, and learn how to use weather-driven analysis to address your own analytics-related business challenges.
Weather can be just as important a factor in retail success as location is. Both by boosting planning efficiency and by mitigating supply chain risk, weather data analytics can help retailers predict and meet customer demand—rain, snow or shine.
The insurance industry is poised to leverage business intelligence from Internet of Things data to offer policyholders value-added services and process optimization. But these opportunities require getting beyond mere point solutions and deploying a comprehensive, scalable and flexible Internet of
Everybody talks about the weather—and now businesses can turn that talk into insight. A recent hackathon highlighted ways data scientists can create smart data applications for meteorological forecasting and address the weather data analytics needs of a range of organizations.
Managing increasing amounts of data from numerous sources can challenge organizations that want to derive insight from it. However, new technologies can help companies integrate this information successfully to drive their businesses.
Fair or foul, each day's weather has an undeniable effect on retail businesses. But now, thanks to powerful analytics, retailers have more accurate forecasts to help mitigate the consequences of bad weather, take advantage of good weather and get deeper insights into their customers’ buying
Many of us might not give much thought to weather data having an impact on business outcomes and decision making. Surprisingly, there are many ways weather can effect organizations spanning many industries. And a great way to learn more is to attend IBM Insight 2015, which will highlight the recent
Although weather is one of the most significant influences on business performance in a wide array of industries, it is also one of the least predictable. Join us at “Hack the Weather” to learn how smart data applications could usher in the next stage of meteorological forecasting.