Although there are many new and emerging classes of data integration, quality and governance software tools available in the market, many large organizations are coming to the conclusion that they're best served by a single unified enterprise data integration, quality and governance platform that
Learn how the IBM Integrated Analytics System, a unified data platform built on the IBM Common SQL Engine, helps do data science faster with high performance, embedded machine learning capabilities and built-in tools for data scientists to deliver analytics critical to increasing your organization’
In today’s energy industry, one of the key priorities is finding new ways to cost efficiently keep up with insatiable demands for power, while also delivering renewable energy. You must be able to predict when events will occur and make the first move. Being first to respond to customer or market
Typically, ingesting streaming event data, persisting with low latency and analyzing it along with historical event data requires integrating multiple analytic systems. IBM Db2 EventStore is purpose built to simplify the complexity of harnessing event data with a single system. Its unique
Data already is the new currency and is at the heart of everything digital. I like to repeat the adage, “Data becomes Information, becomes Knowledge, becomes Wisdom”. And “It’s all about the data”. So why do we send up probes, sensors or satellites — for the data?
It’s no secret that most successful businesses today depend on data—and that’s more true of technology companies and start-ups than any other segment. The ability to analyze information, derive insight quickly, and make confident, timely decisions can often help a software company break into a new
Today, data is the most valuable resource of any business, enabling the actions and insights that empower business disruption. But it can only do so if it’s fully liberated to work for you. We’re working towards a future in which businesses can unleash the power of their databases without
Upon reading his own obituary in the newspaper, famed author Mark Twain is said to have remarked that reports of his death were greatly exaggerated. I can only imagine that if the data warehouse appliance were a 19th century American novelist, it might say the same thing. For a while now,
If you joined us or tuned in for IBM’s Fast Track Your Data broadcast from Munich last week, you heard us talk about the history of cars – a most appropriate location for the discussion. But it wasn’t until Henry Ford and the assembly line over twenty years later that the automobile was advanced
Big data isn’t just getting bigger. It’s getting more valuable. As companies work to unlock more value from their data, one of the biggest challenges to address is disconnected data silos. Big companies don’t have one data lake, they have data lakes, ponds and pools.
In any successful modern organization, analytics is likely to play a central role in helping decision-makers design and execute effective business strategies. At IBM, as we work with clients across the globe, we’re seeing ever-increasing levels of maturity and confidence in data-driven business
Data, insights, cloud, agile, analytics. These are all terms that get thrown around a lot in technology these days. But the truth is that unless you can combine some or all of these concepts, the bottom line benefit to your business will likely not as great as you may expect.
It’s easy to be blinded (and impressed) with the rapid innovation and evolution in the arena of big data. Today’s most technically sophisticated companies have the opportunity to exploit big data tools to address mind-numbingly cool use cases and produce very enticing results. However, so many