Q&A with Natalie Severino, VP Marketing at Chorus.ai

Natalie Severino, VP Marketing at Chorus.ai, is a marketing executive with global experience driving technology product and service revenue through the design and execution of high-performance marketing strategies aimed at enterprise, small business and consumer customers. She is a motivational team builder with a strong track record of developing talented employees. She also holds a reputation for being an innovative competitor with a proven ability to generate sales, margin improvements, and market share gains by effectively synthesizing analytic and creative approaches.

Measure your success by the success of your customers. Every go-to-market team should bring the voice of their customers to every decision they make.


MEDIA 7: Please tell us a little bit about yourself and take us through your professional journey.
NATALIE SEVERINO:
I’ve had several leadership roles in marketing, with organizations including Intuit, Logitech, Trend Micro, ClearSlide and more. While at Intuit, I had the opportunity to work as a marketing leader within the sales organization, which shaped my understanding of how to capture customer needs and concerns. This helped me build better relationships with customers to eventually lead to revenue growth. I also had an amazing female sponsor who was a vice president of sales which wasn’t common at the time. She was a strong strategic thinker that taught me the importance of empowering women in sales, sharing tools for success and creating pathways to leadership roles. She helped me become a great leader and how to make people feel invested in their careers.

M7: Could you please briefly describe the impact the Chorus.ai application would have if a company were to implement it tomorrow?
NS:
From the moment you implement Chorus.ai, reps can stop spending hours collecting notes on each deal, managers can get in-depth visibility into deal progression and the customer success team can quickly see what’s being talked about on calls and what prospects care most about. What we’re really doing is capturing the actual voice of the customer through every sales conversation. With insight into every interaction, Revenue teams can get key information on the status of their relationships, what’s going on across the pipeline and what they need to do to progress their deals.

One of our most notable and recent developments, when customers use our Momentum Suite, they can easily spot deal risks and understand the interactions that drive revenue, like call participants, key discussion items and recommendations for future interactions. It allows Revenue teams to access the voice of the customer in real-time directly from emails, calls and video meeting interactions inside your CRM platform.


AI is already here so it’s important for businesses to embrace it for what it is — a tool to enhance, not replace, the abilities of your Revenue teams.

M7: How do you ensure that your sales team understands and presents the products and services in an engaging manner?
NS:
Ultimately, it’s going to be a mix of great marketing content, compelling go-to-marketing messaging and preparing assets for our Sales Enablement teams to support the revenue organization. But to be more prescriptive, Revenue teams can create engaging moments by coming prepared with a list of the most relevant questions, which they’re able to create by pulling out keywords and phrases from previous calls, and spreading them out over the course of the call. It’s important not to bombard the prospect with more than two questions per minute, which lowers engagement and makes them feel interrogated. When the prospect provides an answer that’s longer than 30 seconds, it’s considered an engaging moment. The goal is to have at least two engaging moments per call, which have a 60% greater chance of getting reps to the next stage.

At Chorus, we’re harnessing the voice of the customer to guide every decision we make. As marketers, we���re leveraging the insights obtained from our Conversation Intelligence to create content and messaging that resonates and connects with current and prospective customers. Our ability to truly understand the customer relationship allows us to better engage with the sales team and deliver content that accelerates deal velocity and drives revenue.

M7: How does Chorus.ai’s application help in improving the win rate of the user’s sales teams?
NS:
Chorus’ platform helps Revenue teams understand the changing needs of their buyers and the key messages and moments that impact them throughout the journey. For example, MongoDB was able to streamline handoffs between sales and customer success while increasing customer engagement and retention.

Since the outset of the pandemic, we’ve witnessed an increase in C-suite involvement on calls, with CXOs participating in buying decisions 86% more often than before. With our AI, Revenue leaders can and should anticipate C-Suite involvement and prepare their team for how to speak with C-Level executives when they join. For example, Revenue leaders can ensure their reps are communicating immediate and extreme ROI earlier in the sales cycle to increase the likelihood of CXOs greenlighting the deal.


By delivering a customer-centric experience, we’re developing stronger relationships with our customers and enabling them to achieve their desired business outcomes.


M7: What do you believe are the top three marketing challenges in the post COVID-19 era?
NS:
The top three marketing challenges in the post-COVID-19 era are identifying and prioritizing high-priority leads, building relationships with buyers in a virtual, hybrid, or in-person office environment, and understanding the new buyer journey. Marketers had to be quick on their feet this past year — the pandemic disrupted business as we know it, providing marketers with an opportunity to get creative and think differently about how they orchestrate the buyer's journey. An opportunity to innovate.

I’m proud of how my team responded — we launched a webinar on remote sales productivity with hundreds of sales professionals nine days after the shutdown. We hosted an executive briefing with our CEO Jim Benton to surface deep data insights about sales productivity and trends. We planned amazing virtual events that accelerated the pipeline and created real engagement between our customers and our executive team.

Moving forward, we’re focused on adapting to the hybrid world — for our employees and our customers. How do we ensure they are receiving a great experience whether they are in the room or not? I'm confident we’ll continue to innovate and find the right solutions!

M7: How do you prepare for an AI-centric world as a Business Leader?
NS:
According to TOPO, Conversation Intelligence will be integrated into the entire sales enablement stack and across all of sales tech by the end of this year. AI is already here so it’s important for businesses to embrace it for what it is — a tool to enhance, not replace, the abilities of your Revenue teams. It’s a powerful tool that can solve extremely difficult problems, but humans are in the driving seat. As our CEO likes to say, “We need technology-enabled humans, not human-enabled technology.”

M7: What is your marketing mantra to stand out in an overly saturated MarTech space?
NS:
Measure your success by the success of your customers. Every go-to-market team should bring the voice of their customers to every decision they make. By delivering a customer-centric experience, we’re developing stronger relationships with our customers and enabling them to achieve their desired business outcomes. This mantra has helped Chorus become the most advanced solution in Conversation Intelligence.

ABOUT CHORUS.AI

Chorus.ai is the No.1 Conversation Intelligence Platform for high-growth sales teams. Founded in 2015, Chorus.ai’s Conversation Intelligence Platform identifies and helps teams replicate the performance of top-performing reps by analyzing their sales meetings. These insights serve as the foundation of an effective coaching strategy for sales and customer success teams and provide insight into the voice-of-the-customer across the entire organization. Customers like Zoom, Mavenlink, Qualtrics, Adobe, TripActions, and GitLab ramp new hires to productivity 30-50% faster and see an increase in quota attainment from 20-to-100%. Chorus.ai is headquartered in San Francisco, with offices in Tel Aviv, Boston, Toronto, and Salt Lake City.

More THOUGHT LEADERS

Q&A with Charles Southwood, Vice President, N. Europe and MEA at Denodo

Media 7 | September 15, 2021

Charles Southwood, Regional VP at Denodo Technologies is responsible for the company’s business revenues in Northern Europe, Middle East and South Africa. He is passionate about working in rapidly moving and innovative markets to support customer success and to align IT solutions that meet the changing business needs. With a degree in engineering from Imperial College London, Charles has over 20 years of experience in data integration, big data, IT infrastructure/IT operations and Business Analytics....

Read More

Q&A with Vishal Srivastava, Vice President (Model Validation) at Citi

Media 7 | September 8, 2021

Vishal Srivastava, Vice President (Model Validation) at Citi was invited as a keynote speaker to present on Fraud Analytics using Machine Learning at the International Automation in Banking Summit in New York in November 2019. Vishal has experience in quantitative risk modeling using advanced engineering, statistical, and machine learning technologies. His academic qualifications in combination with a Ph.D. in Chemical Engineering and an MBA in Finance have enabled him to challenge quantitative risk models with scientific rigor. Vishal’s doctoral thesis included the development of statistical and machine learning-based risk models—some of which are currently being used commercially. Vishal has 120+ peer-reviewed citations in areas such as risk management, quantitative modeling, machine learning, and predictive analytics....

Read More

Q&A with Sadiqah Musa, Co-Founder at Black In Data

Media 7 | September 1, 2021

Sadiqah Musa, Co-Founder at Black In Data, is also an experienced Senior Data Analyst at Guardian News and Media with a demonstrated history of working in the energy and publishing sectors. She is skilled in Advanced Excel, SQL, Python, data visualization, project management, and Data Analysis and has a strong professional background with a Master of Science (MSc) from The University of Manchester....

Read More

Q&A with Charles Southwood, Vice President, N. Europe and MEA at Denodo

Media 7 | September 15, 2021

Charles Southwood, Regional VP at Denodo Technologies is responsible for the company’s business revenues in Northern Europe, Middle East and South Africa. He is passionate about working in rapidly moving and innovative markets to support customer success and to align IT solutions that meet the changing business needs. With a degree in engineering from Imperial College London, Charles has over 20 years of experience in data integration, big data, IT infrastructure/IT operations and Business Analytics....

Read More

Q&A with Vishal Srivastava, Vice President (Model Validation) at Citi

Media 7 | September 8, 2021

Vishal Srivastava, Vice President (Model Validation) at Citi was invited as a keynote speaker to present on Fraud Analytics using Machine Learning at the International Automation in Banking Summit in New York in November 2019. Vishal has experience in quantitative risk modeling using advanced engineering, statistical, and machine learning technologies. His academic qualifications in combination with a Ph.D. in Chemical Engineering and an MBA in Finance have enabled him to challenge quantitative risk models with scientific rigor. Vishal’s doctoral thesis included the development of statistical and machine learning-based risk models—some of which are currently being used commercially. Vishal has 120+ peer-reviewed citations in areas such as risk management, quantitative modeling, machine learning, and predictive analytics....

Read More

Q&A with Sadiqah Musa, Co-Founder at Black In Data

Media 7 | September 1, 2021

Sadiqah Musa, Co-Founder at Black In Data, is also an experienced Senior Data Analyst at Guardian News and Media with a demonstrated history of working in the energy and publishing sectors. She is skilled in Advanced Excel, SQL, Python, data visualization, project management, and Data Analysis and has a strong professional background with a Master of Science (MSc) from The University of Manchester....

Read More

Related News

Business Strategy

Devo Security Data Platform Attains FedRAMP Authorization

Devo | January 09, 2024

Devo Technology, the security data analytics company, today announced that the Devo Security Data Platform received Authorization to Operate (ATO) at the Moderate level under the Federal Risk and Authorization Management Program (FedRAMP). The Devo Security Data Platform successfully completed FedRAMP's rigorous accreditation process, enabling federal agencies to secure their environments with a market-leading security information and event management (SIEM). Agencies and their partners can now leverage Devo to solve their toughest IT and security challenges with unparalleled visibility and a unified view of risk posture, security operations and the threat landscape. The demand to keep pace with rapidly evolving cyber threats at cloud speed and scale has never been higher for the U.S. government. New Office of Management and Budget (OMB) regulations require federal agencies to collect and retain logs for long time periods. These requirements strain legacy SIEM and logging solutions, resulting in higher license and maintenance costs and slower query times. The Devo Security Data Platform's massive ingestion capabilities overcome these challenges and enable agencies to manage petabytes of data—from any device or application—cost-effectively and performantly in the cloud. Kayla Williams, CISO, Devo, said: "Devo relentlessly maintains the highest standards of internal security controls to ensure customers can protect themselves from security threats with peace of mind. Commercial customers have used the Devo Security Data Platform in the cloud for years, and this milestone enables us to continue to extend the same seamless experience to federal agencies and their partners." The Small Business Administration sponsored Devo's authorization. FedRAMP was established to provide a cost-effective, risk-based approach for the adoption and use of cloud services by the federal government. FedRAMP empowers agencies to use modern cloud technologies with an emphasis on the security and protection of federal information. The Devo Security Data Platform is also available in the AWS GovCloud Marketplace, an isolated AWS Region designed to host sensitive data and regulated workloads in the cloud, assisting customers with U.S. federal, state and local government compliance requirements. About Devo Devo unleashes the power of the SOC. The Devo Security Data Platform, powered by our HyperStream technology, is purpose-built to provide the speed and scale, real-time analytics, and actionable intelligence global enterprises need to defend expanding attack surfaces. An ally in keeping your organization secure, Devo combines the power of people and AI to augment security teams, leading to better insights and faster outcomes. Headquartered in Cambridge, Massachusetts, with operations in North America, Europe and Asia Pacific, Devo is backed by Insight Partners, Georgian, TCV, General Atlantic, Bessemer Venture Partners, Kibo Ventures and Eurazeo. Learn more at www.devo.com.

Read More

Data Visualization

SensiML Unveils Data Studio - Next-Generation Sensor Data Management for AI / ML

SensiML | December 20, 2023

SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects - creating high-quality datasets for evaluating and developing ML models. According to Cognilytica, a well-respected AI / ML consulting firm, approximately 80% of the total time for machine learning (ML) projects is allocated to data preparation. These tasks include data identification, aggregation, cleansing, labeling, and augmentation – all of which are supported in SensiML's collaborative development environment. SensiML Data Studio significantly improves productivity and simplifies dataset management for anyone working on sensor data ML projects. With real-time connectivity, intuitive visualization tools, sensor data video synchronization, and robust support for large-scale collaborative projects, it offers a seamless experience for developers on edge devices, gateways, PCs, and cloud platforms. A comprehensive overview of all the features of Data Studio can be found on the SensiML website. The primary features are highlighted below: Effortless Data Capture and Import - Capture live sensor data, analyze it instantly, and label any data for seamless insights. Collaboratively Label Sensor Data - Employ flexible labeling methodologies for sensor data, including manual, AI-assisted, and custom – and sync video for effortless complex labeling. Store and analyze data locally on your computer or remotely. Data Analysis and Model Evaluation - Visually compare ML models, filter, transform, and fuse sensor data – all with built-in tools and your own Python expertise. Label and Data Versioning – Keep track of your labels and model results with versioned labels. Easily export your project to an open format. "SensiML Data Studio makes sensor data management and analysis more accessible and efficient, empowering developers to build better, more impactful applications using sensor data across a wide range of industries," said Chris Knorowski, CTO of SensiML. SensiML Data Studio is poised to transform sensor data analysis, offering a valuable resource for researchers, engineers, and data scientists across diverse sectors from agriculture and consumer wearables to medical devices, smart buildings, and factory maintenance. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.

Read More

Big Data

Airbyte Racks Up Awards from InfoWorld, BigDATAwire, Built In; Builds Largest and Fastest-Growing User Community

Airbyte | January 30, 2024

Airbyte, creators of the leading open-source data movement infrastructure, today announced a series of accomplishments and awards reinforcing its standing as the largest and fastest-growing data movement community. With a focus on innovation, community engagement, and performance enhancement, Airbyte continues to revolutionize the way data is handled and processed across industries. “Airbyte proudly stands as the front-runner in the data movement landscape with the largest community of more than 5,000 daily users and over 125,000 deployments, with monthly data synchronizations of over 2 petabytes,” said Michel Tricot, co-founder and CEO, Airbyte. “This unparalleled growth is a testament to Airbyte's widespread adoption by users and the trust placed in its capabilities.” The Airbyte community has more than 800 code contributors and 12,000 stars on GitHub. Recently, the company held its second annual virtual conference called move(data), which attracted over 5,000 attendees. Airbyte was named an InfoWorld Technology of the Year Award finalist: Data Management – Integration (in October) for cutting-edge products that are changing how IT organizations work and how companies do business. And, at the start of this year, was named to the Built In 2024 Best Places To Work Award in San Francisco – Best Startups to Work For, recognizing the company's commitment to fostering a positive work environment, remote and flexible work opportunities, and programs for diversity, equity, and inclusion. Today, the company received the BigDATAwire Readers/Editors Choice Award – Big Data and AI Startup, which recognizes companies and products that have made a difference. Other key milestones in 2023 include the following. Availability of more than 350 data connectors, making Airbyte the platform with the most connectors in the industry. The company aims to increase that to 500 high-quality connectors supported by the end of this year. More than 2,000 custom connectors were created with the Airbyte No-Code Connector Builder, which enables data connectors to be made in minutes. Significant performance improvement with database replication speed increased by 10 times to support larger datasets. Added support for five vector databases, in addition to unstructured data sources, as the first company to build a bridge between data movement platforms and artificial intelligence (AI). Looking ahead, Airbyte will introduce data lakehouse destinations, as well as a new Publish feature to push data to API destinations. About Airbyte Airbyte is the open-source data movement infrastructure leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

Read More

Business Strategy

Devo Security Data Platform Attains FedRAMP Authorization

Devo | January 09, 2024

Devo Technology, the security data analytics company, today announced that the Devo Security Data Platform received Authorization to Operate (ATO) at the Moderate level under the Federal Risk and Authorization Management Program (FedRAMP). The Devo Security Data Platform successfully completed FedRAMP's rigorous accreditation process, enabling federal agencies to secure their environments with a market-leading security information and event management (SIEM). Agencies and their partners can now leverage Devo to solve their toughest IT and security challenges with unparalleled visibility and a unified view of risk posture, security operations and the threat landscape. The demand to keep pace with rapidly evolving cyber threats at cloud speed and scale has never been higher for the U.S. government. New Office of Management and Budget (OMB) regulations require federal agencies to collect and retain logs for long time periods. These requirements strain legacy SIEM and logging solutions, resulting in higher license and maintenance costs and slower query times. The Devo Security Data Platform's massive ingestion capabilities overcome these challenges and enable agencies to manage petabytes of data—from any device or application—cost-effectively and performantly in the cloud. Kayla Williams, CISO, Devo, said: "Devo relentlessly maintains the highest standards of internal security controls to ensure customers can protect themselves from security threats with peace of mind. Commercial customers have used the Devo Security Data Platform in the cloud for years, and this milestone enables us to continue to extend the same seamless experience to federal agencies and their partners." The Small Business Administration sponsored Devo's authorization. FedRAMP was established to provide a cost-effective, risk-based approach for the adoption and use of cloud services by the federal government. FedRAMP empowers agencies to use modern cloud technologies with an emphasis on the security and protection of federal information. The Devo Security Data Platform is also available in the AWS GovCloud Marketplace, an isolated AWS Region designed to host sensitive data and regulated workloads in the cloud, assisting customers with U.S. federal, state and local government compliance requirements. About Devo Devo unleashes the power of the SOC. The Devo Security Data Platform, powered by our HyperStream technology, is purpose-built to provide the speed and scale, real-time analytics, and actionable intelligence global enterprises need to defend expanding attack surfaces. An ally in keeping your organization secure, Devo combines the power of people and AI to augment security teams, leading to better insights and faster outcomes. Headquartered in Cambridge, Massachusetts, with operations in North America, Europe and Asia Pacific, Devo is backed by Insight Partners, Georgian, TCV, General Atlantic, Bessemer Venture Partners, Kibo Ventures and Eurazeo. Learn more at www.devo.com.

Read More

Data Visualization

SensiML Unveils Data Studio - Next-Generation Sensor Data Management for AI / ML

SensiML | December 20, 2023

SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects - creating high-quality datasets for evaluating and developing ML models. According to Cognilytica, a well-respected AI / ML consulting firm, approximately 80% of the total time for machine learning (ML) projects is allocated to data preparation. These tasks include data identification, aggregation, cleansing, labeling, and augmentation – all of which are supported in SensiML's collaborative development environment. SensiML Data Studio significantly improves productivity and simplifies dataset management for anyone working on sensor data ML projects. With real-time connectivity, intuitive visualization tools, sensor data video synchronization, and robust support for large-scale collaborative projects, it offers a seamless experience for developers on edge devices, gateways, PCs, and cloud platforms. A comprehensive overview of all the features of Data Studio can be found on the SensiML website. The primary features are highlighted below: Effortless Data Capture and Import - Capture live sensor data, analyze it instantly, and label any data for seamless insights. Collaboratively Label Sensor Data - Employ flexible labeling methodologies for sensor data, including manual, AI-assisted, and custom – and sync video for effortless complex labeling. Store and analyze data locally on your computer or remotely. Data Analysis and Model Evaluation - Visually compare ML models, filter, transform, and fuse sensor data – all with built-in tools and your own Python expertise. Label and Data Versioning – Keep track of your labels and model results with versioned labels. Easily export your project to an open format. "SensiML Data Studio makes sensor data management and analysis more accessible and efficient, empowering developers to build better, more impactful applications using sensor data across a wide range of industries," said Chris Knorowski, CTO of SensiML. SensiML Data Studio is poised to transform sensor data analysis, offering a valuable resource for researchers, engineers, and data scientists across diverse sectors from agriculture and consumer wearables to medical devices, smart buildings, and factory maintenance. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.

Read More

Big Data

Airbyte Racks Up Awards from InfoWorld, BigDATAwire, Built In; Builds Largest and Fastest-Growing User Community

Airbyte | January 30, 2024

Airbyte, creators of the leading open-source data movement infrastructure, today announced a series of accomplishments and awards reinforcing its standing as the largest and fastest-growing data movement community. With a focus on innovation, community engagement, and performance enhancement, Airbyte continues to revolutionize the way data is handled and processed across industries. “Airbyte proudly stands as the front-runner in the data movement landscape with the largest community of more than 5,000 daily users and over 125,000 deployments, with monthly data synchronizations of over 2 petabytes,” said Michel Tricot, co-founder and CEO, Airbyte. “This unparalleled growth is a testament to Airbyte's widespread adoption by users and the trust placed in its capabilities.” The Airbyte community has more than 800 code contributors and 12,000 stars on GitHub. Recently, the company held its second annual virtual conference called move(data), which attracted over 5,000 attendees. Airbyte was named an InfoWorld Technology of the Year Award finalist: Data Management – Integration (in October) for cutting-edge products that are changing how IT organizations work and how companies do business. And, at the start of this year, was named to the Built In 2024 Best Places To Work Award in San Francisco – Best Startups to Work For, recognizing the company's commitment to fostering a positive work environment, remote and flexible work opportunities, and programs for diversity, equity, and inclusion. Today, the company received the BigDATAwire Readers/Editors Choice Award – Big Data and AI Startup, which recognizes companies and products that have made a difference. Other key milestones in 2023 include the following. Availability of more than 350 data connectors, making Airbyte the platform with the most connectors in the industry. The company aims to increase that to 500 high-quality connectors supported by the end of this year. More than 2,000 custom connectors were created with the Airbyte No-Code Connector Builder, which enables data connectors to be made in minutes. Significant performance improvement with database replication speed increased by 10 times to support larger datasets. Added support for five vector databases, in addition to unstructured data sources, as the first company to build a bridge between data movement platforms and artificial intelligence (AI). Looking ahead, Airbyte will introduce data lakehouse destinations, as well as a new Publish feature to push data to API destinations. About Airbyte Airbyte is the open-source data movement infrastructure leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

Read More

Spotlight

Chorus.ai

Chorus.ai is the No.1 Conversation Intelligence Platform for high-growth sales teams. Founded in 2015, Chorus.ai’s Conversation Intelligence Platform identifies and helps teams replicate the performance of top-performing reps by analyzing their sales meetings. These insights serve as the foundation ...

Events

Resources