Former Palo Alto Networks executive to bring further marketing and business development expertise to the enterprise business intelligence platform

Sigma, the only data analytics solution built natively for cloud scale, has announced the appointment of René Bonvanie to its Board of Directors. René, a seasoned technology and marketing expert, brings a wealth of experience in scaling enterprise tech companies and driving business success through innovative strategies.

• René Bonvanie’s Role at Sigma:

  • Appointed to Sigma's Board of Directors.
  • Brings extensive expertise in marketing and business development.
  • Known for scaling enterprise technology companies.

• Expertise and Career Highlights:

  • Former Founding Chief Marketing Officer at Palo Alto Networks.
  • Played a key role in Palo Alto Networks’ growth to over $3 billion in annual revenue.
  • Involved in the company’s initial public offering in 2012.
  • Held senior leadership roles at Serena Software, Salesforce.com, SAP, Business Objects, and VERITAS Software.
  • Ran marketing for Oracle’s technology business, including its database and developer programs.

• Sigma’s Strategic Vision:

  • Sigma is focused on modernizing data management, analysis, and utilization.
  • Bonvanie's appointment aligns with Sigma’s goal to lead in massive multiplayer business intelligence.
  • Sigma continues to fortify its leadership with new appointments including Christina Liu as CFO and Ali Harmer as General Counsel.

• René Bonvanie’s Perspective:

  • Expresses excitement about contributing to Sigma’s growth and leadership in data analytics.
  • Highlights Sigma's innovative approach to addressing modern enterprise needs.
  • Sees Sigma as a key player in the evolving data ecosystem and is eager to support its mission.

René Bonvanie's appointment to Sigma's Board of Directors is a significant milestone as the company continues to solidify its leadership in cloud-native data analytics. With his extensive background in scaling tech companies and driving marketing success, René is poised to contribute to Sigma's mission of transforming how enterprises manage and utilize data for strategic decision-making.

Cardlytics, Inc., a leading digital advertising platform, has announced the appointment of Amit Gupta as the new Chief Executive Officer, effective August 16, 2024. Gupta, who currently serves as the Chief Operating Officer and General Manager of Bridg, will also join the Cardlytics Board of Directors on the same date. He succeeds Karim Temsamani, who is stepping down to pursue another professional opportunity.

• Amit Gupta's Appointment:

  • Appointed as CEO of Cardlytics, effective August 16, 2024.
  • Will also join the Cardlytics Board of Directors.
  • Succeeds Karim Temsamani, who is stepping down.

• Leadership Endorsement:

  • Jack Klinck, Chair of the Cardlytics Board, expresses confidence in Gupta's leadership.
  • Gupta has been instrumental in Cardlytics' transformation and growth strategy.
  • His deep experience in product, technology, and industry relationships makes him the natural choice for CEO.

• Amit Gupta’s Vision:

  • Gupta is excited to lead Cardlytics at a critical inflection point.
  • Plans to build on the strong engineering and data-driven foundation laid during his tenure as COO.
  • Focuses on modernizing and evolving the tech platform and executing the revenue diversification strategy with Bridg.
  • Confident in delivering significant value to stakeholders.

• Karim Temsamani's Contributions:

  • Reflects on his tenure and the team’s accomplishments over the last two years.
  • Proud of the financial and legal challenges overcome, and investments made in new business opportunities.
  • Expresses confidence in Gupta to continue the company’s progress.

• Amit Gupta’s Background:

  • Joined Cardlytics in January 2023 as COO and General Manager of Bridg.
  • Led the launch of a new retail media product.
  • Previous roles include Head of Strategy and Operations for Global Partnerships at Stripe, and Director of Strategy, New Products, and Operations for Google’s Geo division.
  • Founder and CEO of several startups; began his career in Booz Allen Hamilton’s tech practice.
  • Educational background includes a B.S. in Electrical Engineering from The Ohio State University and an M.B.A. from NYU Stern School of Business.

Amit Gupta’s appointment as CEO marks a new chapter for Cardlytics as the company continues its journey of growth and innovation. With a strong foundation in engineering, data-driven strategies, and a clear vision for the future, Gupta is well-positioned to lead Cardlytics in delivering value to its stakeholders and maintaining its leadership in the digital advertising space.

Tiga.ai, a leader in artificial intelligence (AI) for B2B sales, announced the launch of its AI platform for go to market (GTM) teams. Founded by former Eloqua and Triblio executives, Tiga.ai is reinventing GTM with the power of generative AI.

B2B selling is inherently complex, requiring nuanced human interactions that make capturing buyer attention a significant challenge. Traditional mass outbound methods have become less effective in this environment. Enter Tiga.ai, a pioneering platform that leverages generative AI to enhance 1:1 human-centric selling. Tiga.ai empowers sales organizations to sell more effectively by enabling targeted, signal-based selling that resonates with individual buyers.

• The Challenge in B2B Selling:

  • B2B selling involves complex, human-to-human interactions.
  • Capturing buyer attention is increasingly difficult.
  • Traditional mass outbound methods are no longer effective.

• Tiga.ai’s Innovative Solution:

  • Tiga.ai uses generative AI to enhance 1:1 human-centric selling.
  • Helps sales teams research target accounts and connect relationally with buyers.
  • Enables signal-based selling, tailored to individual buyer needs.

• CEO Andre Yee's Vision:

  • Advocates for 1:1 signal-based selling over traditional outbound methods.
  • Tiga.ai is designed to support account executives and strategic sales development reps (SDRs).
  • The AI platform identifies custom buyer signals and autonomously executes optimal sales plays.
  • The platform scales personalized sales efforts, making selling more effective.

• How Tiga.ai Works:

  • Trained on specific business content to identify relevant buying signals.
  • Generates personalized messaging based on these signals.
  • Equips B2B sellers to engage in meaningful, targeted conversations with buyers.

• Impact and Client Feedback:

  • Operationalized across several sales organizations since the beginning of the year.
  • Clients report up to 80% productivity gains by integrating Tiga.ai into daily workflows.
  • TJ Bramblett, Founder of Van Bram, highlights Tiga.ai's effectiveness in increasing meeting quality and automating personalized multi-channel sales plays.

Tiga.ai is redefining B2B selling by shifting the focus from ineffective mass outbound methods to personalized, signal-based selling. By leveraging the power of generative AI, Tiga.ai equips sales teams to connect more effectively with buyers, resulting in significant productivity gains and better-quality engagements. As B2B sales continue to evolve, Tiga.ai stands at the forefront, driving the future of human-centric, AI-powered selling.

Data-driven, AI-powered decision-making is now faster and easier for public sector adoption

MicroStrategy® Incorporated, a leader in AI-powered business intelligence, has announced that its FedRAMP authorized solution, MicroStrategy ONE for Government, is now available on AWS Marketplace. This development allows federal agencies to easily find, purchase, and deploy the industry-leading AI+BI platform on Amazon Web Services (AWS), streamlining the process for public sector customers to access powerful data-driven insights.

• MicroStrategy ONE for Government:

  • A managed software-as-a-service (SaaS) solution.
  • Built on a cloud-native architecture tailored for the public sector.
  • Addresses sophisticated security, data protection, governance, and privacy needs.
  • Available on AWS Marketplace for easy access and deployment by federal agencies.

• Key Features and Capabilities:

  • HyperIntelligence:
    • Provides immediate, actionable insights by hovering over specific keywords.
    • Enables quick access to critical information without needing complex queries.
  • Auto, the Generative AI Bot:
    • Allows users to ask questions in natural language.
    • Makes analytics data more accessible to non-technical users.
    • Enhances decision-making capabilities across the workforce.

• Benefits for Public Sector Customers:

  • Quick and easy purchasing and deployment through AWS Marketplace.
  • Empowers all levels of the workforce, including frontline workers, with AI-powered insights.
  • Helps users make faster, data-driven decisions.
  • Adheres to the complex requirements and regulations of government agencies.

• Strategic Partnership with AWS:

  • Strengthens the relationship between MicroStrategy and AWS.
  • Provides a seamless way for federal, state, and local officials to purchase and deploy MicroStrategy ONE.
  • Facilitates the use of AWS-allocated budgets for procurement.

• Executive Insights:

  • Mel Zeledon, Executive Vice President of Alliances and Transformation at MicroStrategy, emphasizes the platform’s ability to deliver secure, trusted data insights.
  • Highlights the ease of access and deployment through AWS Marketplace as a significant advantage for public sector customers.

The availability of MicroStrategy ONE for Government in AWS Marketplace marks a significant milestone in delivering AI-powered business intelligence to the public sector. By offering a FedRAMP authorized, cloud-native platform that meets the rigorous demands of government agencies, MicroStrategy continues to empower organizations to make faster, data-driven decisions. The seamless integration with AWS Marketplace further enhances the accessibility and deployment of this powerful solution, strengthening the strategic partnership between MicroStrategy and AWS.

Legal technology company continues to expand Cecilia AI capabilities to make litigations and investigations more efficient and give lawyers faster access to facts

CS Disco, Inc., a leader in AI-enabled legal technology, has announced the general availability of Cecilia Auto Review, a cutting-edge solution that leverages generative AI to perform high-quality document reviews. Part of the Cecilia AI suite, this tool is designed to deliver accurate and consistent tagging of documents, enabling legal professionals to quickly identify relevant materials at the outset of litigation or investigation.

• Challenges in Document Review:

  • Legal teams spend significant resources on first-pass document reviews.
  • Human reviewers can introduce inconsistencies, leading to delays in case strategy.
  • Traditional methods are costly and time-consuming.

• Introduction to Cecilia Auto Review:

  • A generative AI tool that automates first-pass document reviews.
  • Provides consistent tagging and detailed explanations for each decision.
  • Enhances speed and accuracy in identifying relevant documents.

• Performance and Client Feedback:

  • Demonstrated review speeds of 3,800 documents per hour in testing.
  • Equivalent to a 140-person review team over an eight-hour day.
  • Achieved 10-20% higher precision and recall metrics compared to human reviewers.
  • Positive feedback from pilots with top Am Law firms, highlighting significant improvements in review processes.

• Industry Impact and Testimonials:

  • Devin Kani, VP of Product Management at DISCO:
    • Highlights DISCO’s leadership in AI-driven legal technology.
    • Notes the tremendous response from early users.
    • Emphasizes continuous product improvement through collaboration with law firms.
  • Daryl E. Shetterly, Orrick Analytics:
    • Describes Cecilia Auto Review as a game changer for legal teams.
    • Stresses the tool’s ability to achieve high accuracy in first-pass document reviews.
  • Shelby Rampolo, Perkins Coie LLP:
    • Praises Cecilia Auto Review for its speed and accuracy in large document reviews.
    • Recognizes the tool’s potential to enhance legal advice and client outcomes.

• The Future of Legal Tech with Cecilia AI:

  • Cecilia Auto Review is one of five generative AI capabilities announced by DISCO.
  • Part of a broader suite of tools designed to empower lawyers with modern fact-finding capabilities.
  • Includes features like Cecilia Q&A, which allows targeted insights into specific documents.

DISCO’s Cecilia Auto Review is set to revolutionize the legal industry by providing an AI-driven solution that significantly enhances the speed and accuracy of document reviews. By reducing the resource-intensive nature of first-pass reviews and improving consistency, Cecilia Auto Review empowers legal teams to focus on strategic case development and client counseling. As part of the evolving Cecilia AI suite, this tool underscores DISCO’s commitment to advancing legal technology and delivering superior outcomes for its clients.

Acquisition provides AI-generated insights from customer interactions across every channel, delivering instant value for revenue and post-sales leaders

Gainsight, the leading Customer Success platform, has announced a definitive agreement to acquire Staircase AI, a company specializing in AI-driven customer interaction analysis. This acquisition will introduce Staircase AI as a distinct offering within Gainsight’s expanding artificial intelligence (AI) portfolio, furthering the company’s mission to revolutionize Customer Success through advanced AI solutions.

• Gainsight's Leadership in AI for Customer Success:

  • Gainsight launched the first AI solutions for Customer Success in 2021.
  • Gainsight AI is trusted by over 500 customers globally, offering features like the new Gainsight Copilot.
  • The platform has generated millions of insights, including cheat sheets, meeting summaries, and survey analyses.

• Overview of Staircase AI:

  • Launched in 2021, Staircase AI analyzes customer interactions automatically without human intervention.
  • Integrates with email, chat, Slack, and ticketing systems to scan millions of interactions.
  • Extracts key customer signals such as sentiment, risk, and relationship strength to improve decision-making.
  • Trusted by global enterprises like Claroty, ServiceTitan, and Skai.

• Strategic Importance of the Acquisition:

  • Enhances Gainsight’s Human-First AI strategy by tapping into implicit signals within human interactions.
  • Provides an early warning system for customer health, reducing reliance on traditional, often unreliable, indicators.
  • Aims to eliminate blind spots in customer-facing operations.

• New Offering: Staircase AI by Gainsight:

  • Omni-channel Integration and Visibility:
    • Automatic logging and analysis of customer interactions across multiple channels.
    • Captures critical conversational signals from email, calendar, chat, Slack, CRM, and CS platforms.
  • Unbiased Customer Health and Risk Insights:
    • AI-generated real-time sentiment analysis, health scores, and early churn signals.
    • Provides a comprehensive view of relationship strength.
  • Multi-threaded Relationship Intelligence:
    • Analyzes complex interactions for qualitative insights and stakeholder alignment.
    • Offers relationship radars to track key customer relationships.
  • Executive Dashboards:
    • Summarizes customer health and team performance for better decision-making.
    • Generates reports on resource allocation, response times, and team efficiency.
  • Expansion Opportunity Detection:
    • Identifies engaged customers ready for business expansion, targeting high-potential accounts.
  • Real-Time Alerts and Notifications:
    • Sends instant alerts on critical customer issues via Slack and email for immediate action.
  • Rapid Implementation and Security:
    • Provides full functionality in one day, meeting enterprise-grade security requirements.

• Market Availability and Future Plans:

  • Staircase AI by Gainsight is available for purchase by any company, not limited to existing Gainsight customers.
  • Gainsight plans to continue innovating and integrating Staircase AI with other products in its portfolio.

The acquisition of Staircase AI by Gainsight marks a significant step forward in the evolution of Customer Success technology. By integrating Staircase AI’s advanced capabilities into its Human-First AI strategy, Gainsight is poised to provide even more powerful tools for understanding and improving customer relationships. This acquisition not only strengthens Gainsight’s position as a leader in AI-driven Customer Success but also offers immediate, actionable insights that drive growth and enhance customer satisfaction.

Deterministic data graph brings scale and accuracy to foundational demographic CTV audiences

Alliant, a leading data-driven audience company, has announced a strategic partnership with Madhive, a top technology company in local Connected Television (CTV) advertising. This collaboration allows Madhive’s clients broadcasters, agencies, brands, and publishers access to Alliant's extensive taxonomy of over 2,000 TV-optimized audiences. The partnership aims to enhance CTV advertising with highly targeted and scalable audience segments, driving better results for both awareness and conversion campaigns.

• Alliant’s Optimized Audiences for CTV:

  • Alliant has developed specialized audiences tailored for the growing CTV advertising market.
  • These audiences are now integrated into Madhive’s local CTV device graph, enhancing relevance and targeting precision.
  • Proven to drive results across various campaign objectives, from top-of-funnel awareness to lower-funnel conversions.

• Madhive Data Marketplace Overview:

  • The Madhive Data Marketplace connects advertisers with over 15,000 audience segments, including behavioral, demographic, and transactional data.
  • Partnerships with top-tier data providers like Alliant enable access to high-quality audiences at efficient costs.
  • The marketplace reaches 90 million households monthly, offering hyperlocal targeting down to ZIP code and congressional district levels.

• Strategic Importance of the Partnership:

  • The integration of Alliant’s deterministic household graph with Madhive’s CTV device graph ensures powerful audience targeting.
  • Alliant’s privacy-compliant, data-rich audiences are now accessible to Madhive’s broadcaster clients, helping them meet the demands of national and local advertisers.
  • The partnership supports scalable and precise CTV campaigns, essential for successful TV advertising.

• Benefits for Broadcasters and Programmers:

  • Alliant’s demographic audiences provide the necessary scale for effective TV campaigns, including those on CTV.
  • Broadcasters and programmers can leverage Alliant Audiences to ensure their brand and agency clients achieve the desired reach and impact.
  • The partnership with Madhive allows for precision targeting while maintaining the scale needed for large campaigns.

The partnership between Alliant and Madhive marks a significant advancement in CTV advertising, providing advertisers with enhanced targeting capabilities and scalable audience reach. By integrating Alliant’s optimized audiences into Madhive’s extensive data marketplace, broadcasters, agencies, brands, and publishers can now execute more effective and precise CTV campaigns. This collaboration is set to deliver powerful results across the entire advertising funnel, from brand awareness to conversion.

ShareThis Expands Advertising Solutions with AI-Powered Contextual Targeting

ShareThis, a Predactiv company, has announced the general availability of its new Contextual targeting solution, marking a significant step forward in the company’s mission to offer diverse and privacy-centric advertising options. This new solution utilizes advanced AI technologies to analyze the content of web pages where ads appear, providing advertisers with the ability to place ads in the most relevant environments without relying on cookies. The launch of ShareThis Contextual is set to enhance the precision and effectiveness of ad placements, complementing the company’s existing behavioral targeting capabilities.

• AI-Driven Contextual Targeting:

  • ShareThis Contextual uses large language model processing to analyze and classify web content, extracting meaningful insights from keywords, topics, and overall context.
  • The solution offers smarter URL classification, ensuring that ads are placed in environments most relevant to the content being viewed by users.
  • This approach eliminates the need for cookie-based tracking, making it a privacy-compliant alternative for advertisers.

• Complementary Behavioral and Contextual Targeting:

  • While behavioral targeting excels at understanding user interests based on their interactions, ShareThis Contextual expands reach by aligning ad placements with the content users are currently engaging with.
  • The combination of behavioral and contextual targeting allows for more powerful and effective ad delivery, ensuring that ads resonate with users both in terms of their interests and the context of the content.

• Introduction of ShareThis Contextual PRO:

  • ShareThis Contextual PRO is an advanced feature that enhances contextual targeting by integrating proprietary behavioral data.
  • This PRO feature leverages deterministic signals from first-party data, uncovering new high-engagement contextual categories without requiring data sharing or reliance on modeled data.
  • The PRO feature maximizes engagement, effectiveness, and reach by placing ads in the most relevant environments.

• Privacy-Centric Advertising Approach:

  • ShareThis Contextual offers a privacy-centric solution by circumventing the limitations of third-party cookies and providing ethical ad targeting methods.
  • The use of AI technologies and deep consumer behavior insights allows advertisers to achieve higher engagement rates and improved ROI through more accurate ad placements.
  • This shift towards privacy-centric advertising is in line with industry trends and consumer expectations.

Conclusion:
The launch of ShareThis Contextual represents a major advancement in digital advertising, providing a powerful and privacy-compliant solution for advertisers. By combining AI-driven content analysis with behavioral insights, ShareThis offers advertisers the ability to place ads in the most relevant and engaging environments. Whether used independently or in conjunction with behavioral targeting, ShareThis Contextual and its PRO feature ensure that ads not only reach the right audience but also resonate with them on a deeper level, paving the way for more effective and ethical digital marketing strategies.