Doing AI successfully can be an elusive goal, a fact which limits productivity, project success and mainstream adoption. Coordinating AI, ML and data science with the operational side of things is perhaps the most audacious goal of all.
NEW YORK and LONDON (PRWEB) June 28, 2018
Io-Tahoe LLC, a pioneer in machine learning-driven smart data discovery products that span a wide range of heterogeneous technology platforms, today announced the next in its educational webinar series entitled, “Operationalized AI and machine learning: challenges and possible solutions.”
Date & Time: Tuesday, July 3, 2018, 12:00 p.m. – 1:00 p.m. Eastern Time
Guest: Ciprian Jichici, General Manager, Genisoft
Why Attend? Artificial Intelligence (AI) has captured the imagination of many organizations, from small start-ups to vast Enterprise corporations. Doing AI successfully, and in a consistent fashion, can be an elusive goal, a fact which limits productivity, project success and mainstream adoption.
The workflow and tooling for data science, machine learning and artificial intelligence is still in a primitive stage. Moreover, the integration of those disciplines with data engineering and software development is even less evolved. Coordinating those three pursuits with the operational side of things – deployment, testing, monitoring, troubleshooting and retraining – is perhaps the most audacious goal of all. Does today’s toolchain allow such coordination of efforts? If not, can bespoke solutions be cobbled together, and would the outcome justify the investment?
Special guest Ciprian Jichici, General Manager, Genisoft will join Andrew Brust – Io-Tahoe’s Market Strategy Advisor, ZDNet Big Data Blogger and Founder/CEO of Blue Badge Insights for this live webinar. Ciprian is a software development authority, a consulting veteran and an accomplished data scientist; if anyone can envision an implementation of DevOps discipline in AI, it’s him.
In this Webinar you will learn:
- The challenges to making data science efforts conform to software development best practices.
- How repeatability and operationalization of machine learning and AI is made difficult by fragmentation in the data science technology landscape and yet is still critical to success.
- About new projects in the machine learning world that are making data science more procedural and repeatable, and better-integrated with data engineering and analytics.
- How software applications with embedded AI offer a on-ramp to the technology, without the operational burdens.
& Register Here: https://io-tahoe.com/webinars/
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Io-Tahoe is a pioneer in machine learning-driven smart data discovery products that enable organizations to discover data across a wide range of heterogeneous technology platforms, from traditional databases and data warehouses to data lakes and other modern repositories, helping enterprises trace data elements across their systems in spite of outdated metadata definitions. The product utilizes machine learning algorithms to dramatically increase the accuracy, intelligence and speed of learning of complex data elements and data relationships throughout the entire business environment.
Our product has been custom-built by a team with a deep understanding of data challenges, giving us first-hand insight and appreciation into our customers’ diverse and complex data needs. Our product is particularly valuable to businesses with large numbers of customers and diverse data sets, such as those in the financial services, utilities, retail, transportation, insurance, healthcare and manufacturing industries. For further information, please visit: http://www.io-tahoe.com.