“When it comes to real-time analytics, feeds and speeds are important, but the key point is this: if an organization has any employee, anywhere, who needs to take an important action but cannot because he or she is ‘waiting for data,’ the organization needs faster data,” said Jeff Cotrupe in a recent Stratecast report. The report, Everyone Wants “Real-time Analytic Insights”–but Which Architecture Will Get You There?, asserts that broad agreement exists that real-time analytics are essential to the survival and prosperity of the organization. In particular, financial markets, adtech, cybersecurity, and others now find themselves competing in ‘the millisecond economy,’ where survival is no longer possible without putting the freshest insights at the fingertips of their people.
Hyperbole and a lack of clarity about what to deploy, however, represent significant barriers to entry. The array of technology choices, the lack of clarity around those choices, and the organizational positioning and politics surrounding those choices constitute a barrier to adoption—creating confusion and indecision in the marketplace.
The report equips organizations to make the right decisions in this environment by analyzing Apache open source technologies that form the foundation of many real-time analytics deployments today; optimal architectures for real-time analytics; and strategies of some of the companies Cotrupe and Stratecast consider the leading providers in the space–and offers definitive recommendations on how buyers should proceed.
Jeff Cotrupe’s report, Innovating Financial Services in the Big Data Era, outlines the challenges and opportunities financial institutions face in 2018 and beyond. The analysis includes how these companies are evolving alongside emerging data trends; the ROI they are obtaining from actionable analytics; where spending is occurring today; and where it needs to be focused going forward. Technologies and issues analyzed include AI, blockchain, privacy and the GDPR, security, the IoT, data governance, risk management, and compliance. The analysis also includes case study snapshots of best practices in the industry at Barclays Bank, VISA, Wells Fargo, BNY Mellon, EY, Allstate, and Cheyne Capital.
The report is featured in media articles including in Fintech Innovation (Effective big data analytics management crucial for FSI growth) and in CXO Today (How Big Data Is Changing Banking And Finance), and is generating significant activity on Twitter and LinkedIn.
L-R | Jeff Cotrupe, Stratecast; Peter Buchroithner, Swell; Ofer Ronen, (Google’s) Chatbase; and Henry Duong, DiagnosisAI.
Jeff Cotrupe served as event chair, speaker, and panel moderator at AI Expo 29-30 November in Santa Clara, California, co-located with IoT and Blockchain expos. Cotrupe presented Chair’s Welcome and Opening Comments both days; led a Day 1 panel titled AI for Social Good; and led the Day 2 Keynote Panel (pictured above) titled Realities of Bot and VA Development and Implementation.
Cotrupe’s day 2 opening comments presented findings pertinent to AI from Stratecast’s 2017 Survey of the fast-growing big data and analytics market; discussed the economic and customer experience implications of AI; and challenged the audience to build better bots by avoiding common pitfalls and following specific best practices.
The Keynote Panel, with Cotrupe (LinkedIn/Twitter) as moderator, featured panelists Ofer Ronen, Team Lead, Chatbase (LinkedIn/Twitter), a startup in Google’s Area 120 innovation incubator; Peter Buchroithner, CEO and Co-Founder, Swell (LinkedIn/Twitter), an engagement engine for brands in messenger communities; and Henry Duong, CTO, DiagnosisAI (LinkedIn/Twitter), an AI-based medical company designed to improve access to healthcare. More information on the Keynote Panel appears here, and the Day 1 and Day 2 links above now also include audio recordings of all sessions for on-demand access to event content.
AI Expo North America 2017 has selected Jeff Cotrupe as an event Chair for its upcoming conference in November just after the US Thanksgiving holiday. The event, co-located and concurrent with the Blockchain and IoT Tech expos, will occur 29-30 November 2017 at the Santa Clara Convention Center, Santa Clara, California, USA.
“Artificial intelligence, machine learning, the Internet of Things, and blockchain are fast becoming integral parts of the world in which we live and work,” said Cotrupe. “It is an honor to be involved with this multi-faceted conference and I will be focusing, in part, on how AI both leverages data and contributes to the overall big data and analytics (BDA) ecosystem.”
The Bot and Virtual Assistant Development Track Cotrupe is chairing occurs on Day 2 of the conference and his featured Speaker content is linked from that page or directly available here.
“It all started with a tweet.” Jeff Cotrupe tweeted a quick take with some impressions from AWS Summit Chicago. Next thing you know, tweet love started breaking out all over and soon, an invite came to do a guest post. The result appears here on the Dynatrace Blog.
Frost & Sullivan’s Brand & Demand team, led by Elisha Gist, poured content from Jeff Cotrupe and others into a piece titled Can Bots and Virtual Assistants Help Boost Your Brand? Some key takeaways include:
Millennials, who now comprise the largest group of consumers in the marketplace, are ready, eager, and able to leverage self-service and other advanced technologies–and brands who do not offer them will be at a competitive disadvantage.
Organizations should move beyond simple automation to utilizing bots as tools to differentiate their brands, such as by incorporating their brand’s specific message
into a bot and tailoring chat to underscore brand identity.
Testing and partnerships will shape how bots and VAs are implemented across organizations.
The piece is available for free download here at the Brand & Demand landing page, which features a quote from Cotrupe.
Vertica is promoting Jeff Cotrupe’s analysis of big data in digital advertising, HPE Vertica Empowers Adtech Industry to Deliver Data-driven Conversions. The paper addresses the challenges the industry is facing, analyzing why big data and analytics–and more specifically, SQL analytic insights at the speed of business–are now essential in advertising, empowering people (and machines) to instantly make optimal advertising decisions. This content is available for free download here.