Next week Rob Key and Jane Quigley will be heading to ICON 2024! Come meet us at booth 100 (next to our friends at Meltwater) to learn all about how we address major social data pain points, such as Data Quality and Data Accuracy with our LLM-powered solutions—looking forward to seeing you there!
Converseon
Technology, Information and Internet
New York, NY 4,274 followers
The Leader in Conversation Based Decision Intelligence.
About us
Converseon is the leader in transforming unstructured “conversation data” into powerful predictive and prescriptive intelligence through our award-winning “Trusted NLP” and patent-pending Applied AI products and solutions. Our solutions uniquely connect specific brand health and reputation perceptions to business outcomes such as sales and shareholder value, and establish trust and "veracity" in AI processed unstructured data. Conversus NLP is a SaaS "veracity engine" that puts the "trust into AI" through greater accuracy, transparency, validation, human in loop goverance and other patent pending technologies. It significantly improves unstructured data quality and alignment for consumer, VoC and brand intelligence, reducing costs and dangers of "hallucinations." It is becoming a powerful solution to help fine tune, reduce inaccuracies, and increase context and recall in generative AI output. With features data scientists will appreciate, its no code approach is very useful for general analysts too. Conversus PRISM is a companion AI solution that revolutionalizes consumer and voice of customer intelligence and brand equity/product innovation. It combines NLP and econometric modeling to not only predict the future but also enable business simulation so you understand the likely impact of specific investments and outcomes before you make them. A pioneer in AI since 2008, the firm has worked with major leading brands around the world and across languages to help reinvent actionable predictive brand intelligence in an uncertain and rapidly changing world.
- Website
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http://www.converseon.com
External link for Converseon
- Industry
- Technology, Information and Internet
- Company size
- 51-200 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2008
- Specialties
- social listening, Voice of Customer, market research, social analytics, social intelligence, machine learning, data processing, sentiment analysis, text analytics, artificial intelligence, API, SaaS, esg, predictiveanalytics, decision intelligence, artificial intelligence, trusted AI, Product innovation, and reputation
Locations
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Primary
Get directions
500 7th Ave
1400
New York, NY 10018, US
Employees at Converseon
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Mike Moran
Consultant and Professional Speaker in AI, Product Management, and Digital Marketing
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Philip Resnik
MPower Professor, University of Maryland
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George Musi
Marketing & Consulting Services Executive
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Jim Whelan
Helping clients leverage AI to make more informed decisions that deliver better business outcomes
Updates
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Our CEO, Rob Key along with our great partner Angela Palladino at Walmart, led a session on the Data Quality Challenges in social data last week at the 𝐎𝐛𝐬𝐞𝐫𝐯𝐞 𝐒𝐮𝐦𝐦𝐢𝐭 #observesummit. We laid out an 8-step program designed to “fix” the pervasive accuracy issues in this unstructured data—beginning with “commitment.” New technologies and “trusted AI” approaches are now available to level up these capabilities so that we “get this right” and ensure our data is AI and research ready. It's not hyperbole to say that “𝐟𝐢𝐧𝐝𝐢𝐧𝐠 𝐭𝐫𝐮𝐭𝐡 𝐚𝐧𝐝 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐢𝐧 𝐝𝐚𝐭𝐚 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐈 𝐰𝐨𝐫𝐥𝐝 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐨𝐧𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐠𝐫𝐞𝐚𝐭𝐞𝐬𝐭 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐰𝐞 𝐟𝐚𝐜𝐞 𝐨𝐯𝐞𝐫 𝐭𝐡𝐞 𝐜𝐨𝐦𝐢𝐧𝐠 𝐲𝐞𝐚𝐫𝐬.” The #socialintelligence industry has a massive role to play here. Some topics covered during the session: - How to measure accuracy - Understanding F1 scores - The need for data trust - How enriched data can predict business outcomes - How to transform social intelligence into predictive business intelligence - The role and impact of LLMs - Potential impact from emerging AI regulations - The need for brands to have greater capabilities and options for data classification and AI models - The difference between “trust” vs. “truth” algorithms Want a copy of the deck? 📊 Just DM us! #DataQuality #AI #SocialData #TrustedAI #PredictiveBusinessIntelligence #DataAccuracy #convereon #ObserveSummit
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Just a couple more days until #ObserveSummit24 in Chicago! Our VP of Solutions, Ben Sigerson will be manning our booth (Booth#4!) to talk through your specific Data Quality/Data Accuracy questions and concerns, and our CEO, Rob Key, will be discussing with Walmart's Angela Palladino and SiLab's Dr Jillian Ney how important Data Quality is in terms of driving trust in the insights you're generating across your organization. Come join us and make sure you get your tix today https://lnkd.in/e29N9VT8
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This is a must-see panel next week for anyone dealing with the pain points of data quality issues! A few tickets are still available for #ObserveSummit - see you there!
What could be better than a cosy fireside chat? How about one that drills right down into one of the biggest issues in social listening right now…data quality? The unfortunate truth is that data quality is bad. Not all bad. But bad enough that it’s keeping social listeners up at night right now. So if you want to sleep easy, join Rob Key (Founder of Converseon), Angela Palladino (Senior Director, Insights & Analytics at Walmart) and, our very own, Dr Jillian Ney, at Observe Summit where they’ll be talking about: 👉 What is the problem with data quality? 👉 How big a problem is this really? 👉 How can you benchmark and measure your data quality? 👉 What tech (hello AI) and strategies are there to get better data quality? There’s not long now until Observe Summit, grab your tickets soon 👉 https://lnkd.in/e29N9VT8 #ObserveSummit #OS24 #SocialIntelligence #AI #SocialListening #Analytics #DataQuality #SocialData
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Proud to be sponsoring The Social Intelligence Lab's Observe Summit in Chicago this year (Oct 3rd)! Our CEO, Rob Key will be talking about the importance of Data Quality and the insights you're using to make key business decisions with Walmart's Senior Director of Insights and Analytics, Angela Palladino. Come join us! https://lnkd.in/eNDxRNNZ #observesummit24 #dataquality #speedtoinsights
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Very excited to have partnered with The Social Intelligence Lab on the #SITechLandscape Map! Kudos to Dr Jillian Ney, Bernardo Ellis, and the rest of the SI Lab team - what a terrific accomplishment and resource for brands struggling to understand this wide-ranging industry and the tools available to them.
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Really looking forward to this LinkedIn Live today at 11:30am EST - Join us!
Building THE global social listening community to turn social intelligence into a recognized discipline
As we countdown to Observe Summit, we’re questioning if you’re getting the full story when you analyse social data…in fact, could the story you’re actually getting be more fiction than fact? 🤔 Join us for this LinkedIn Live as we explore why the insights from your social listening tool might not be as accurate as you think. 💥 🔍 The Problem: Poor data quality can lead to misleading insights, making it harder to understand your audience and make informed decisions. 🎯 The Solution: We’ll uncover how to identify and fix these data issues so you can get more reliable insights from your social listening tools that are easier to action. 💡 What You’ll Learn: Discover the hidden dangers of poor data quality Learn how to ensure your social listening data is always relevant and accurate Get real-world examples of what can go wrong—and how to avoid it Don’t let bad data steer your strategy in the wrong direction. Join us on September 10th for a very special LinkedIn Live.
Are your social listening insights accurate? Hidden truth on data quality
www.linkedin.com
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Our CEO Rob Key is leading this discussion today on the hidden truth about data quality and your social data insights. Join us at 11:30am est on LinkedIn Live! https://lnkd.in/eDxJbj4r
We love a good story. The more outrageous and convoluted the plot, the better! BUT not when it comes to our data. When analysing data we much prefer fact over fiction. The secret to ensuring analysing social data gets you the full story is all down to the quality of the data. Poor data quality can lead to misleading insights which makes it hard to understand your audience and make informed decisions. So how do you ensure good quality data? Well, the first step is to tune in to our next LinkedIn Live session “Are your social listening insights as good as you think they are? The hidden truth about data quality”. And the next is to listen to our awesome experts Ellen T. (Head of Social Listening – Cash App), Rob Key (Founder – Converseon) and Jacob Bohle (Global Insights Assistant Manager – Bayer). Join us on September 10th at 4.30pm (BST) and find out how to get your data quality up to scratch! Observe Summit is just under a month away and each week we are counting down with a new LinkedIn Live session. #ObserveSummit #OS24 #DeepSocialListening #SocialListening #SocialIntelligence #Insight #Data
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Converseon reposted this
the eu ai act finally becomes law on august 1. as has been cited elsewhere, for individuals or companies that are deploying or implementing AI systems (referred to as "deployers" under the Act), here are three key obligations to keep in mind: 🔥 Implement a risk assessment system; 🔥 Adopt transparency principles and processes; and 🔥 Design responsible AI governance. While gen AI is a focus it does not discriminate in other uses of ai including data classification and predictive ai. for those in social listening and media evaluation, market research, consumer intelligence using these technologies, remember you are responsible even if you did not build the model. i’ve been a bit repetitive on this lately but there are implications - Commit to data quality - Know your model accuracy! - embrace model observability, transparency and validation - ensure human in the loop governance. Not sure where to start? we can help. our Conversus NLP platform provides the full range of “trusted” ai features needed to abide by these standards. just dm me. the good news? doing so will also drive more business value, adoption, and trust in your data and insights. (hat tip to gartner too for their strong coverage of this framework) -
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