Advanced Analytics

Partner to enable banks and other financial organizations to engage in advanced modernization projects without affecting daily operations.Many banks and financial services organizations are motivated to modernize their systems to include cloud capabilities and advanced analytics, but many are held back due to five key challenges such as security, compliance, systemic risk, downtime and data migration quality.Working together, Coforge and Denodo enable companies to overcome each of these challenges, so they can gain the necessary agility to engage in any number of extensive migration or...

Customer Keynote by Chad Simpson, CIO at CITY Furniture.

Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Even with a wide array of tools and technologies at their disposal, data scientists are still spending most of the time massaging and manipulating the data into a usable data asset.Data virtualization offers a new alternative to address these issues in a more efficient and agile way. Watch on-demand this session to learn how companies can use data virtualization to:Create a logical architecture to make all enterprise data available for advanced analytics...

Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Data Science platforms have become more approachable and user friendly. With all the advancements in the technology space, the Data Scientist is still spending most of the time massaging and manipulating the data into a usable data asset. How can we empower the data scientist? How can we make data more accessible, and foster a data sharing culture?Join us, and we will show you how Data Virtualization can do just that, with an agile and AI/ML laced data...

Being able to maintain a well managed and curated Data Warehouse, along with keeping up with all of the demands of a very sophisticated consumer group can be a challenge. The new user wants access to data, they want to experiment, fail fast and if they do find usable insights/algorithms they want them productionized. This puts pressure on an IT organization and pushes them closer to a Bimodal operation where the regular IT processes that are highly curated, well defined and managed contrast sharply with the demands of the more sophisticated user.In the recently published TDWI Best Practices...

You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.In this webinar we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't...

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.Attend this webinar and learn: