(August 15, 2019) – CIEK Solutions has been named one of the top predictive analytics solutions’ providers for 2019 by CIO Applications, an independent technology magazine that specializes in enterprise solutions. The list includes 25 companies that are at the forefront of providing advanced analytics solutions that are impacting the marketplace.
We were attending for the second time in the last 3 years the most premier open data conference on the east coast in Boston. Primary reason was to focus on the time series modeling talks by several renowned experts like Jeffrey Yao
Most of the talks ranged in the areas of deep learning, machine learning
We had the annual ML conference in our home town Charlottesville, VA. After an astounding success in the first ever major data conference last year, Charlottesville had the honor of again hosting some of the major data & analytics thought leaders in the mid-Atlantic region. The annual Applied Machine Learning Conference convenes researchers, entrepreneurs, and practitioners who use big data and machine learning applications for a day of presentations and flash talks.
At the sold-out 2018 conference, speakers presented findings in everything from “Social Bias in Machine Learning” to “An Introduction to Wikidata”. Particularly entertaining was the advances in graphics computing and image analytics by David Luebke, VP Graphics research from Nvidia.
First stop at a data science conference in 2018. I had come to meet a cruise line client in Miami. Stopped on the way back for half a day at Data Science Salon, Miami. Boutique conference. Interesting talk by Doug Vegas on monetization and productization of data sciences. Key thoughts of that talk:
• Data Sciences teams need to start taking the reins in an organization.
• Data Scientists need to start calling the shots.
• Data Science is a revenue generating function.
Especially like the last point.
In November 2017, New Orleans (Louisiana), hosted the world most important conference on data mining. The 17th edition of this event presented new work on graph analytics, time series patterns and recommender systems, among other disciplines.
The big numbers:
• 778 papers submitted, more than 60% student were first author.
• 72 regular papers accepted (9.3% rate) and 83 short papers. Total 19.9% rate.
• 4 keynotes
• 24 workshops
Overall, we highly recommend attending this conference to anyone dealing with real world data problems, as it helps to get to know the latest results on sophisticated, and efficient large-scale data algorithms.
We had a great time at the Big data Innovation Summit in Boston. The main themes of the conference were:
• Customer-Centric Applications of Analytics
• Information Governance to Generate Value & Reduce Risk
• Fostering a Data-Driven Culture
• Implementing a Data Analytics Strategy
There was exciting line-up of speakers from eBay, Etsy, Wayfair, Heineken, NBC Universal, John Hancock, Urban Outfitters, Experian etc. With over 60 senior executive speakers and over 800 participants, there were lots of learnings and networking in the 2 days. Great conference overall as it focuses on use cases of analytics to solve complex organizational problems.
CIEK was selected to be part of the “Innovators Row” at CBIC annual gala (http://cvillebic.org/awards) held on May 10, 2017 in Charlottesville, VA.
The CBIC Awards honors enterprising Central Virginia (VA/DC area) entrepreneurs. CIEK earned a spot on CBIC’s Innovator Row through a competitive jury process. which showcases startup ventures before an audience of the region’s leading technology entrepreneurs, investors, educators, and public officials.
BayesiaLab hosted its global conference of bayesian experts and practioners in Nashville, TN on September 29, 2016
Marketing has always sought those moments, or touch points, when consumers are open to influence. One of the central concepts of marketing and sales is the funnel — through which consumers are supposed to systematically move from awareness through consideration to purchase. Today, the funnel concept fails to capture all the touch points and key buying factors due to the explosion of product choices and digital channels, coupled with the emergence of an increasingly discerning, well-informed consumer. A more sophisticated approach is required to help marketers navigate this environment, which is less linear and more complicated than what the funnel suggests.
Our client – a leading automotive aftermarket retailer had a general idea that their brand purchase funnel was not linear. However, they had never quantified the contribution of various touch points to purchase intent and the interaction between each of its brand drivers. Using Bayesian network modeling technique, we helped the client answer the following essential questions regarding the consumer decision journey:
- What are the key brand performance drivers of purchase intent?
- Are there are any interactions within the brand funnel purchase process?
- What is the effect of the relationship between key brand drivers like brand consideration and purchase intent on sales?
- What is the optimal media mix to maximize brand performance and sales objectives?
Datapalooza is a showcase of the data-driven research, resources, services, and outreach at the University of Virginia. Presented by the DSI with co-sponsorship from the VPR and VP for IT offices, this pan-University event is an opportunity for all members of business/academic professionals to understand and appreciate the power of data to drive research and innovation, as well as decision-making, policy, and teaching methods.
In an innovation economy, companies are always looking for their next competitive edge. Data and analytics are often at the center of these discoveries, and many industries are only beginning to scratch the surface of possibilities unearthed by data science. Learn from the business leaders in our community how data and analytics are driving business decisions, while learning of specific use cases across a variety of industry domains.
Analytical insights are only valuable if you can take actions on them and more importantly in a timely fashion to improve customer engagement and loyalty. This is the place where predictive data driven marketing has a measurable impact in driving your business. However, most data driven marketing programs are developed around providing insights into what’s happened in the past, and what’s worked or not worked. However, being ‘only data driven is no longer going to be enough unless you are able to derive insights which are predictive of the future and helps organizations move forward.
At the conference, Neeraj Kulkarni shared his experiences on the steps marketing professionals need to take towards becoming a predictive data driven marketer: