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‘Doubling Down: The Secret Sauce for Dual-Career Families’ by Ilene Gordon and Bram Bluestein, Now Available in Hardcover Edition

Learn Rewirement and Work-Life Integration From the C-Suite Couple Who’s Done It for 45 Years

Ilene Gordon and Bram Bluestein, the C-suite couple that has been practicing rewirement and work-life integration for 45 years, has released the hardcover edition of Doubling Down: The Secret Sauce for Dual-Career Families. For anyone who desires to excel in a big career, sustain a loving relationship, and raise children who grow up to be happy and healthy adults, this is the playbook that reveals the new elixir to making it all work in 2023 and beyond. 

“The ability to model all that an enriching, fulfilling life can be for your children while also managing rigorous work schedules as high-level executives is nothing short of heroic,” said Elliott Wislar, CEO of Clearbrook. “Bram and Ilene are modern role models for us all, in fact, epitomizing a grand American dream. I’m inspired by the many examples in their book but also, fueled to be more self-aware and intentional as a leader and parent. This is quite a unique guide.” 

Examples in Doubling Down are poignant and timely, with loads of research underscoring their advice. Both authors shaped rigorous careers and crisscrossed the world in their roles while “doubling down” on their family needs in sometimes creative ways. They learned to be supportive partners, agree on compromises, and evolve in their professional identities while keeping family first. 

Ilene Gordon served as CEO of Ingredion, a Fortune 500 company, and was named five times to Fortune’s “50 Most Powerful Women in Business” U.S. list, and twice to Fortune’s international list. Bram Bluestein held senior leadership positions at several of the most respected consulting firms in the world, including Boston Consulting Group, Kearney, and Booz Allen Hamilton. Since the release of their first edition of Doubling Down, Ilene and Bram have brought their message to Chicago Finance Exchange, The Wharton Club, MIT Sloan, Columbia Business School, Loyola University’s Baumhart Center for Social Enterprise & Responsibility, Stanford Law School, and many others.

Purchase here: https://www.amazon.com/Doubling-Down-Secret-Dual-Career-Families/dp/1737885026/ref=tmm_hrd_swatch_0?_encoding=UTF8&qid=1685399643&sr=8-2

Contact Information:

Suzan Lea

Communications & Booking

[email protected]

Original Source:

‘Doubling Down: The Secret Sauce for Dual-Career Families’ by Ilene Gordon and Bram Bluestein, Now Available in Hardcover Edition

The post ‘Doubling Down: The Secret Sauce for Dual-Career Families’ by Ilene Gordon and Bram Bluestein, Now Available in Hardcover Edition first appeared on The Offspring Session.

Thematic’s Leading AI-Driven Platform Incorporates Generative AI, Embracing Large Language Models for Customer Feedback Analysis

Global feedback analytics leader levels up its own proprietary AI algorithm with the latest large language models to deliver the most thorough, transparent customer feedback insights for clients.

Thematic, a unique AI-powered platform for analyzing customer feedback, announces Generative AI integration, expanding their analytics toolkit to incorporate large language models that offer more thorough and transparent insights.

Founded in 2017, Thematic employs its proprietary AI algorithm to evaluate customer feedback analysis collected through sources such as customer satisfaction surveys, reviews, social media, and contact center logs. By aggregating insights from these sources in one place, clients can perceive the needs of their customers, without the need for training a language model or manual coding, in order to make informed decisions based on insights to improve products and customer experiences.

Thematic is the brainchild of co-founders Alyona Medelyan and Nathan Holmberg, both experts in computer science, big data and business. Medelyan, CEO of Thematic, holds a doctorate in natural language processing (NLP) and machine learning, and her peer-reviewed research articles have been cited by more than 3,000 academics.  

Holmberg, Thematic’s Chief Technical Officer, was VP of Engineering at Entopix and Chief Architect and Lead Developer at Serato Inc. He has a degree in computer science and international business and as a developer and software engineer focused on computer graphics, interprocess communications and live-performance entertainment software, specializing in concurrency and real-time performance considerations. 

The idea of Thematic came out of Medelyan’s work in NLP consulting. Three companies recruited her for help with the same problem: understanding what drove their NPS performance. Medelyan collaborated with the companies to develop an NLP algorithm that harnessed unstructured customer feedback from surveys, analyzed the textual data, identified themes and tied them to metrics to explain what drove the responses.

Thematic now incorporates Generative AI, and their first feature using this technology, Theme Summarizer, can provide an instant understanding of any theme in a client’s customer data. Advances in Generative AI using large language models (LLMs) allow Thematic to create easy-to-read summaries of each theme.  

“Thematic has the unique ability to distill the common themes hidden in the ocean of text coming through the many, many avenues where customers give their opinions of products and services,” Medelyan said. “Simply put, we help our clients understand their users, save time, improve customer loyalty and satisfaction, and make the right product decisions.”

The Thematic platform provides visualizations and reports that help inform product roadmaps and clearly show trends in customer feedback. Insights and product teams use Thematic to understand feedback at scale, work more efficiently and make the right product decisions.  

“What our customers need is not just a summary but trusted analysis that they can trace to the context,” Medelyan said. “Rather than simply adding LLMs, we have embedded them in our platform, still giving customers the ability to trace analysis to its source and edit themes. This ensures that customers continue to get a trusted, accurate analysis. Just 1000x faster, and with readable summaries.”  

Thematic developed a system to leverage its proprietary AI to create guardrails for LLMs, to guarantee a summary that is thorough, readable, accurate, and provides quick snapshots of volume, sentiment, and trends for the selected theme. Relevant examples contribute further context and reporting purposes.  

“Our clients often ask, ‘What does this theme mean?’ or ‘What specifically do people say?’ when reviewing analyzed customer feedback. They want to understand the heart of the feedback without reading all the comments,” Medelyan said. “LLMs have the power to provide that insight, but as we know, they also can generate inaccurate responses as well. And accuracy in insights is essential to your business.”

This adds more capability to a platform that is already delivering powerful results for customers and incorporates an LLM that is grounded in Thematic’s analyzed data. “What makes it amazing is that it has a human-like ability to understand language and develop reasoning,” Medelyan said. “Thematic allows your product, operations, and insights teams to be aligned on priorities and issues to fix.”  

A new Forrester Total Economic Impact Study showed Thematic delivered a 543% return on investment by helping companies deliver incremental profits.

To learn more about what Thematic can do for your business, please visit getthematic.com

About Thematic 

Thematic is a powerful feedback analytics software platform that helps companies make sense of customer feedback at scale. The platform analyzes unstructured feedback data from a wide range of sources, including surveys, reviews, chat logs, and support tickets. cutting-edge AI, the analytics model transforms this data into insights so that companies can eliminate customer pain points and identify opportunities.

Contact Information:

Madeleine Moench

[email protected]

Original Source:

Thematic’s Leading AI-Driven Platform Incorporates Generative AI, Embracing Large Language Models for Customer Feedback Analysis

The post Thematic’s Leading AI-Driven Platform Incorporates Generative AI, Embracing Large Language Models for Customer Feedback Analysis first appeared on The Offspring Session.

Mona Introduces Industry’s First Generative AI Monitoring Solution

Mona empowers businesses to leverage the full potential of generative AI through advanced, granular monitoring capabilities

Mona Introduces Industry’s First Generative AI Monitoring Solution
Mona’s Generative AI Monitoring

Mona automatically detects issues such as profanity use within prompts.

Mona, the leading AI monitoring company, today announces the launch of its generative AI monitoring solution, providing complete visibility for prompt engineering, large language models, GPT, and other generative AI projects. 

To ensure safe and effective use of generative AI approaches, avoid operational risks and ultimately gain the trust of business customers, it is critical to implement effective monitoring. Mona’s monitoring solution offers a range of benefits helping generative AI teams ensure the optimal performance and reliability of their generative AI. Key features include:

  • Optimize API Usage: Track generative AI functionality and performance. Find opportunities to reduce resource usage and optimize your API calls with advanced, granular tracking and automatic improvement suggestions.
  • Mitigate Risks: Get alerted on behavior outliers, drifts and sudden changes. Avoid problems caused due to model “hallucinations.” Unsure of what can go wrong? Mona knows exactly what to look for.
  • Easy Integration: Just wrap your API calls with our client, and monitoring is set up automatically.

“Our platform has always focused on product-oriented AI and AI-based processes, as opposed to just monitoring the models,” said Itai Bar-Sinai, Chief Product Officer and Co-founder at Mona. “Mona is perfectly tailored to accommodate the industry’s shift towards using generative AI.”

Mona is ideal for teams that host their own LLMs or call on models built by others via API, enabling monitoring for any large language model and any image generation tool. For more information, please visit: https://www.monalabs.io/generative-ai

About Mona

Mona is a monitoring platform for AI in production. The intelligent monitoring solution helps organizations increase trust in their AI system by giving them an analytical engine that can detect issues weeks or longer before they come to the surface, and by that to help avoid AI catastrophes. The company’s highly configurable platform provides teams with tailored, real-time insights to monitor and investigate performance issues, proactively alerting them regarding model behavior anomalies and data integrity issues. Founded in 2018 by product leaders and operators from Google and McKinsey & Co., the company is backed by top VCs, with offices in Tel Aviv and Atlanta. Learn more by visiting http://www.monalabs.io

Contact Information:

Diane Vo

Marketing Lead

[email protected]

(408) 429-3549

Original Source:

Mona Introduces Industry’s First Generative AI Monitoring Solution

The post Mona Introduces Industry’s First Generative AI Monitoring Solution first appeared on The Offspring Session.

AI-Podcast Invasion: TwinChat AI Disrupts Social Media With 10,000 Famous Personalities’ Mind-Deepfakes – Unlocking VIP Celebrity Access for All

Unleash Individual, Emotional Narratives with Your Favorite Mind-Twin Personalities. Join a Never-Ending Show Featuring Authentic Emotions, News and Gossip. TwinChat Presents: Interactive AI-Podcasts.

Waken.ai, an innovative AI Lab, is redefining the frontiers of social media with the launch of its revolutionary TwinChat app. By offering a continuously evolving “podcast-like” experience, TwinChat AI enables users to engage in conversations with impressively realistic “Mind-Deepfake” Twins. These Twins are chosen from an extensive library of over 10,000 personalities, experts, and fictional characters. Initially released for iOS, with forthcoming web and Android versions, TwinChat AI provides an engaging and interactive alternative to traditional social media platforms.

TwinChat’s state-of-the-art “Mind-Deepfakes” provide a fresh perspective in the attention economy. Acting as thoughtful podcast guests, these AI-Twins are more than mere chatbots. They facilitate authentic, emotional, human-like interactions, allowing users to enjoy an on-demand podcast experience with their chosen celebrities, experts, or characters. Each user’s personalized “Twinfluencer” skillfully moderates captivating dialogues, creating a continuously evolving, tailored podcast-like narrative. TwinChat offers a depth-filled and refreshing alternative in the social media landscape.

Hassan Uriostegui, TwinChat’s Founder, boasts a significant track record in the tech sector. His previous ventures include co-founding FlyrTV, a company which garnered $6M in funding before its acquisition by Pond5, and the development of the Community iOS App for Ashton Kutcher’s social media platform. While the Community App aimed to bridge the gap between celebrities and fans via SMS, TwinChat surpasses this concept by replicating the mindset of renowned personalities, enabling users to interact with their favorite AI-Twins whenever they wish.

As Uriostegui shares, “TwinChat AI enables hyper-personalized learning, emotional connection, and critical thinking. It allows users to delve into the mindset, emotional depth, and life wisdom of celebrities, experts, and fictional characters through a constant, personal connection.”

TwinChat gives users the option to record their conversations, which are visually enriched with AI-selected GIFs to underscore the discussion, creating a compelling video. An optional AI narration can be added for a podcast-like experience. In April 2023, TwinChat partnered with a leading GIF provider, further elevating the platform’s visual appeal.

Pakko de la Torre, TwinChat’s Director of Creative Technology and AI, highlights the uniqueness of the app, stating, “Our platform reimagines the news feed, transforming real-world news into conversations between relevant AI-Twins. The standout feature of TwinChat, though, is the AI-AI socialization. Users can comment on public TwinChats, but the dialogue perceived by the group comes exclusively from their own Twinfluencer, ensuring an anonymous, empowering, and user-centric experience.

TwinChat aspires to offer celebrities and brands a sense of identity, purpose, and control over their AI-Twins. The team is actively collaborating with brands to reproduce personalities with voices and avatars in the near future, aiming to elevate the Twinfluencer experience to unprecedented heights.

Explaining the simplicity of using TwinChat, Arturo Castelan, Marketing Director, notes, “Creating a TwinChat is as straightforward as initiating a podcast. Users select up to three AI-Twins, use AI tools to auto-generate topics or enhance personal ideas, and then tap the TwinChat button. The Twinfluencer then guides the conversation, producing a never-ending, evolving podcast.

TwinChat is available in several languages, including English, Spanish, Japanese, Korean, Chinese, and Arabic. For more information about TwinChat AI, please visit www.twinchat.com.

About TwinChat 
TwinChat is an AI entertainment startup devoted to democratizing digital interaction. By harnessing mind-deepfakes inspired by personalities, TwinChat utilizes state-of-the-art AI technology to establish a new era of personalized, AI-powered entertainment captivating audiences globally.

Contact Information:

Hassan Uriostegui

Researcher

[email protected]

3105691282

Related Files
twinchatprdeck.pdf
I-AI-Twinchat.pdf

Original Source:

AI-Podcast Invasion: TwinChat AI Disrupts Social Media With 10,000 Famous Personalities’ Mind-Deepfakes – Unlocking VIP Celebrity Access for All

The post AI-Podcast Invasion: TwinChat AI Disrupts Social Media With 10,000 Famous Personalities’ Mind-Deepfakes – Unlocking VIP Celebrity Access for All first appeared on The Offspring Session.