Latest news with #Dataiku
Cision Canada
5 days ago
- Business
- Cision Canada
Compass Analytics and Dataiku Forge Strategic Partnership to Elevate AI Solutions in Canada Français
MONTREAL, May 28, 2025 /CNW/ - Compass Analytics, a leading Canadian data consulting firm, is pleased to announce a strategic partnership with Dataiku, the world's leading Universal AI platform. This collaboration aims to deliver cutting-edge artificial intelligence (AI) and machine learning (ML) solutions to businesses across Canada, empowering them to harness the full potential of their data. Compass Analytics, a bilingual Canadian system integrator partner, brings extensive expertise in data engineering, ML, generative AI, process automation, and application development. The firm excels in leveraging technology platforms to deliver high-value, impactful solutions tailored to clients' unique needs. Dataiku's platform is renowned for giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. By bringing together Dataiku's robust Universal AI Platform with Compass Analytics' deep industry knowledge, clients can expect transformative solutions that enhance operational efficiency and drive business growth. Through this collaboration, Compass Analytics will offer a comprehensive suite of Dataiku specific services, including Platform Strategy and Use Case Implementation, Legacy Platform Transitions, and Training and Support. Full details of Dataiku services can be found on Compass Analytics' partnership website. "We are thrilled to partner with Dataiku to bring advanced AI capabilities to Canadian enterprises," said William Chan, Co-Founder & CEO at Compass Analytics. "Canadian companies have signalled they are ready to invest in artificial intelligence and this collaboration enables us to provide our clients with state-of-the-art tools and expertise, driving innovation and fostering data-driven decision-making across industries." "Partnering with Compass in Canada allows us to bring tangible AI transformation to industries like finance, retail, and telecommunications," said Taye Mohler, Dataiku VP of Partnerships for the Americas. "By combining Compass's deep industry knowledge with Dataiku's Universal AI Platform, we're enabling organizations to move from data to impact faster—whether that means reducing fraud, optimizing supply chains, or improving customer satisfaction." For more information about the partnership and services offered, please visit Compass Analytics' website. About Compass Analytics Compass Analytics is a premier Canadian data consulting firm specializing in digital transformation planning, data engineering, machine learning, and application development. Partnering with some of the world's largest multinational companies, Compass Analytics delivers innovative tools and solutions that empower clients to gain a competitive edge in their respective industries. About Dataiku Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to Generative AI. Together, they design, develop, and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. Founded in 2013, Dataiku has proven its ability to continue to develop its founding vision for Everyday AI, and to execute on its growth. Connect with Dataiku through their blog, X, LinkedIn, and YouTube.
Business Wire
6 days ago
- Business
- Business Wire
Cello and Lightspeed Announce the Winners of the GTM10 Awards — Honoring the World's Best GTM Leader in Software
SAN FRANCISCO--(BUSINESS WIRE)-- Cello and Lightspeed Venture Partners today proudly unveiled the 50 winners of the GTM10 Awards 2025, the first global program recognizing the best Go-To-Market (GTM) leaders across Marketing, Sales, Growth, Customer Success, and Partnerships in software. The winners were selected by an esteemed jury of GTM legends, including Kyle Poyar (Growth Unhinged and Operating Partner, Tremont), Mark Roberge (Founding CRO, HubSpot), and Heidrun Luyt (CGO, Qonto) - each bringing decades of experience in scaling high-growth software companies. 'The best GTM leaders today aren't just delivering results—they're building repeatable, scalable frameworks that others follow,' said Kyle Poyar, GTM10 jury member and operating partner at Tremont. 'This cohort represents the future of our craft.' Share After reviewing 806 nominations from 24 countries, the jury selected a diverse cohort of leaders redefining what it means to bring technology to market in 2025. Explore the full list of winners: The Five Functions Driving Modern GTM Each category had its competitive dynamics, with Marketing being the most contested. Below are some standout winners from all categories: Marketing: Ren Lee (SVP Marketing, Dataiku) transformed Dataiku's GTM strategy through demand generation-focused programs, from a high-converting Exec Connect series for senior leaders to a revamped webinar engine to engage business and builder personas alike. Her KPI-driven approach to pipeline and intent enablement set a new standard for enterprise marketing in the competitive AI space. Sales: Nick Feeney (VP Revenue, Loom) transformed Loom's enterprise motion by implementing a lean, AI-enabled sales model and a data-driven outbound engine. His focus on simplicity, automation, and high-talent density drove significant ARR growth and established a repeatable, scalable GTM framework. Growth: Alexander Berger (Chief of Staff, led a high-stakes company pivot, transforming StackBlitz into an AI-powered website builder that reached $20M ARR in just two months. His first-principles approach to GTM and unique 'Influencer Board of Advisors' concept helped scale the product into a category leader in the AI tools space, setting a new standard for capital-efficient growth in SaaS. Customer Success: Cait Keohane (Chief Customer Officer, Airtable), led a customer journey redesign to tackle experience fragmentation amid rapid growth. Anchored in data-driven feedback loops, her approach led to significant improvements in retention and satisfaction, raising the bar for scalable, customer-centric success in SaaS. Partnerships: Alexis Zhu (Head of Global Partnerships, Stripe) transformed how Stripe partners with major payment providers by launching a new distribution model that doubled merchant adoption. Her scalable framework, leveraging strategic alliances and cross-functional 'Tiger Teams,' is now a playbook for partnership-led growth in fintech. 'The best GTM leaders today aren't just delivering results—they're building repeatable, scalable frameworks that others follow,' said Kyle Poyar, GTM10 jury member and operating partner at Tremont. 'This cohort represents the future of our craft.' The Shared GTM Challenges of 2025 Across all categories, this year's nominees consistently tackled a shared set of challenges: Scaling with Constraints: Many operated with limited resources, yet delivered exceptional pipeline and revenue growth. Breaking Through Noise: Honorees redefined GTM storytelling to stand out in saturated markets. Driving Efficiency at Scale: From PLG to AI-driven enablement, leaders implemented systems that multiplied impact without bloated headcount. Orchestrating Global Expansion: Several winners unlocked new markets while maintaining operational precision and cultural relevance. Integrating AI and Automation: Nearly all winners innovated with AI, reimagining onboarding, lead scoring, and customer engagement in real-time. 'Being recognized by peers and industry leaders for the work my incredible team at Gusto delivered is truly an honor,' said Jason Ing, GTM10 award winner and CMO at (formerly CMO at Gusto). 'We started with a clear vision of what we wanted our customers to understand and feel — and we're proud of how powerfully it landed and the impact it had on the business. This award isn't just a milestone — it's a reflection of the high standards, creativity, and relentless effort required to win in today's GTM landscape.' The Selection Process Winners were chosen by a panel of world-class judges, including GTM veterans from HubSpot, Shopify, Asana, and Databricks, alongside investors from Sequoia, a16z, Balderton, and Lightspeed Venture Partners. Judges assessed candidates based on: Impact – tangible revenue growth or strategic outcomes Innovation – breakthroughs in motion, channel, or structure Visibility – community contribution and industry leadership Recognition and What Comes Next Winners received: Nasdaq Times Square recognition Featured profiles across industry media and Exclusive membership in the GTM10 Leaders Circle – a prestigious community of top Go-To-Market professional, including invitations to regular invite-only events happening globally About Cello Cello is the all-in-one referral platform that helps SaaS companies launch user and partner referral programs with no-code simplicity. Trusted by category leaders like Miro, Typeform, and VEED, Cello is redefining how viral growth scales in SaaS. Lightspeed Venture Partners is a global venture capital firm with $30B in AUM. It backs category-defining companies in enterprise, consumer, and fintech, such as Snap, Anthropic, and Rubrik.
Forbes
22-05-2025
- Business
- Forbes
Why AI Demands Have 74% Of CEOs Fearing For Their Jobs
AI demands are reshaping CEO responsibilities and job security. A staggering 74% of CEOs admit they could lose their jobs within two years if they fail to deliver measurable AI business gains, according to a 2025 Dataiku/Harris Poll. This anxiety comes at a time when AI's influence on executive decision-making is stronger than ever. Globally, CEOs report that AI has influenced strategic decisions 33 times on average over the past year. Still, as companies race to implement AI solutions, CEOs are caught between mounting pressure to show results and the complex realities of responsible, effective AI deployment. Here's why this pressure exists, where it's coming from and what CEOs must do to navigate this new reality. Nearly two-thirds (63%) of CEOs report their boards require measurable AI-driven results, and 96% of executives believe these expectations are justified. The stakes extend beyond the boardroom, with 83% of CEOs acknowledging that investors view AI strategy and execution as critical factors in their funding decisions. Today's environment demands that CEOs dedicate significant attention to AI risk management and implementation, often at the expense of other strategic priorities. Perhaps most concerning is CEOs' admission that much of their AI activity lacks real substance: Executives estimate that over a third (35%) of their AI initiatives amount to mere "AI washing,' a term referring to projects undertaken primarily to maintain the illusion of progress rather than drive meaningful business impact. This suggests billions in technology investments are driven more by fear of appearing behind the curve than by actual strategic value. Compounding this challenge, 87% of CEOs admit falling into what experts call the "AI commodity trap." They wrongly believe that pre-built, off-the-shelf AI solutions will be as effective as custom-built systems for industry-specific applications. This fundamental misunderstanding of AI's limitations threatens to undermine their transformation efforts. Meanwhile, governance gaps create additional vulnerabilities. An alarming 94% of CEOs suspect employees secretly use unauthorized AI tools to complete company work. This creates compliance, security, and quality risks that will inevitably be traced back to the CEO if left unaddressed. Regulatory uncertainty and inadequate planning create significant barriers to successful AI implementation: Four in 10 CEOs now estimate they're involved in up to 75% of all AI-related decisions in their organizations, highlighting the shift away from delegating AI to technical teams. Leaders can't afford to view AI as simply another technology implementation handed off to the CIO or CTO. This view aligns with expert observations shared in the latest McKinsey Global Survey on AI, 'The more we see organizations using AI, the more we recognize that it takes a top-down process to really move the needle. Effective AI implementation starts with a fully committed C-suite and, ideally, an engaged board. Many companies' instinct is to delegate implementation to the IT or digital department, but over and over again, this turns out to be a recipe for failure.' According to the survey, 94% of CEOs believe AI agents could provide equal or better strategic counsel than human board members. In addition, 89% say AI can develop superior strategic plans compared to their executive teams. These beliefs are already reshaping leadership structures, with 95% of U.S. CEOs willing to add or replace board members with AI experts. As AI assumes more analytical functions, leadership teams will likely become smaller but more specialized. To add value beyond what AI offers, savvy executives must shift their focus to uniquely human capabilities like emotional intelligence, creativity, and ethical judgment. As AI reshapes executive responsibilities, organizations are pioneering new leadership structures that leverage human expertise and AI capabilities. Some companies have implemented reverse mentoring initiatives where digitally native Gen Z employees formally advise C-suite executives on emerging technologies. These programs create a two-way knowledge transfer where executives gain technological fluency while younger employees develop business acumen and leadership skills. Other organizations have established dedicated AI governance councils that bring together diverse perspectives. These cross-functional teams typically include technical experts, ethics specialists, business unit leaders, and legal counsel, which ensure AI initiatives balance innovation with responsibility. A few pioneering companies have created executive-level "AI partner" positions, not replacing human leadership but augmenting it with specialized AI guidance. These roles bridge technical capabilities and strategic implementation, helping translate AI potential into business outcomes. For executives determined to navigate the AI landscape successfully, several strategies are necessary: Move beyond PR-driven AI projects and focus on measurable return on investment. Measuring business and human outcomes means tracking cost savings, innovation rates, job satisfaction, agility and skill development. CEOs should establish clear metrics demonstrating AI's impact on financial performance and organizational capabilities. Generic, off-the-shelf AI tools may create initial momentum but rarely deliver a sustainable competitive advantage. Instead, form dedicated "AI councils" that combine HR, IT, legal and compliance perspectives to develop solutions tailored to your specific industry challenges. Institute approved tool policies with clear usage guidelines, provide comprehensive training on responsible AI use and implement transparent usage dashboards that encourage proper adoption while discouraging risky workarounds. Today's AI-driven business environment requires executives who inspire confidence amid uncertainty, making decisions with incomplete information and helping teams embrace ambiguity. That includes creating a culture of ongoing AI education, which will start at the top. With investors scrutinizing AI investments and boards demanding results, articulating a compelling yet realistic AI vision is crucial for executive credibility. Develop a consistent narrative acknowledging AI's transformative potential and implementation challenges while establishing transparent reporting frameworks that demonstrate progress without resorting to "AI washing." AI isn't just a technology. It's the new benchmark for executive performance. In today's boardrooms, the ability to lead successful AI initiatives will define which CEOs succeed and which are left behind. The leaders who adapt and embrace AI as a strategic tool will find themselves not just enjoying job security but leading the transformation their organizations desperately need.
Tahawul Tech
02-05-2025
- Business
- Tahawul Tech
Dataiku augments The Universal AI Platform
Dataiku, The Universal AI Platform™, has announced the launch of AI Agents with Dataiku. This new set of capabilities is designed to create and control AI agents at scale, delivering a new class of AI applications powered by analytics, predictive models, and agents. Dataiku has witnessed rapid acceleration of GenAI and AI agent adoption over the past year. Over 20% of customers now use Dataiku to integrate GenAI into their business and data workflows, with multiple projects per customer exceeding 1,000 active use cases. As companies continue their rush to deploy agents, many create clumsy architectures where agents operate without proper IT control, vary in quality and relevance, and are sprawled ungoverned across teams. Dataiku solves this by augmenting The Universal AI Platform with agents as true enterprise systems — grounded in trusted data, embedded in operational workflows, connected to all AI inputs, and governed with the same rigor as any business-critical asset. 'AI is raw power — and it's time for companies to take control. Companies are on the verge of repurposing two decades of enterprise applications built on systems like Snowflake, Workday, and SAP with a new layer of AI-native applications. These applications demand a combination of analytics, models, and agents that only Dataiku can deliver', explained Florian Douetteau, co-founder and CEO of Dataiku. 'As companies mature from exploring to operationalising agents, they'll quickly realise the need to centralise their creation for proper governance instead of letting them sprawl, continuously optimise their performance instead of letting them stale, and fully orchestrate them through existing IT assets instead of raising technical debt. We're building the required capabilities now in The Universal AI Platform for this emerging market need', Douetteau added. Centralised Agent Creation for Full Governance Companies are already beginning to feel the pain of agentic initiatives everywhere in the organisation without rationalisation or control. Dataiku supports the central creation of agents with visual agent, a no-code option ideal for non-technical business users, and code agent, a full-code option ideal for developers — both available in the same platform, with key capabilities to ensure governance: Managed Agent Tools for guaranteeing quality and validation of tools used by agents. GenAI Registry for strategic oversight, with agentic use cases centrally reviewed, business value assessed, and risks evaluated. Sign-offs for risk monitoring, with validation workflows off before moving to production. Dataiku LLM Mesh Architecture for Secured Agentic Orchestration Agentic ecosystems pose growing security and governance risks, especially as models evolve rapidly, and costs remain difficult to monitor. IT teams are caught between building and maintaining their own guardrails, locking into a single vendor, or allowing open experimentation — each path introducing its own risks to scale and control. Dataiku provides a robust set of capabilities for IT to orchestrate agents at scale. These capabilities include: The Dataiku LLM Mesh to manage model access across all providers, either for proprietary models (OpenAI, Anthropic, Mistral), through cloud services (Bedrock, Azure, Gemini), or via open source models like Llama and DeepSeek through self-hosting. to manage model access across all providers, either for proprietary models (OpenAI, Anthropic, Mistral), through cloud services (Bedrock, Azure, Gemini), or via open source models like Llama and DeepSeek through self-hosting. Dataiku Safe Guard to flexibly define and apply guardrails. Agent Connect to centralize agent access across the organisation from a single interface, for either dispatching requests to a single agent or having multiple agents working in concert to solve users' requests. Observability and Performance Monitoring for Continuous Agent Optimisation AI agents are brittle and dynamic systems: they can generate unexpected errors, and their performance can degrade over time. Companies adopting agents need to move to a mindset of continuous optimisation, where agent testing and performance monitoring is routine. Dataiku provides a deep set of capabilities for agent observability and performance monitoring, including: Trace Explorer for full transparency into agent decision-making, input/output flows, and debugging. Quality Guard to evaluate and monitor agent performance continuously with LLM-as-a-judge, evaluation sets, and golden datasets. Cost Guard for real-time usage tracking, budget enforcement, and internal rebilling. Connect Your Agents to Your Business With a uniquely agnostic approach to agentic AI, Dataiku supports all major cloud environments, model providers, and data platforms, including Snowflake, Databricks, Microsoft, AWS, Google, and more — allowing agents to run wherever enterprise data and analytics already live. Because agent development is embedded inside Dataiku's broader Universal AI Platform, customers can fully integrate agents into existing data pipelines, MLOps workflows, and model governance processes, eliminating duplication and delivering higher ROI. Available today, find out more about how you can drive your business forward with AI Agents with Dataiku on The Universal AI Platform at: Image Credit: Dataiku
Tahawul Tech
02-05-2025
- Business
- Tahawul Tech
Dataiku announce the launch of AI Agents to control The Universal AI Platform
Dataiku, The Universal AI Platform™, has announced the launch of AI Agents with Dataiku. This new set of capabilities is designed to create and control AI agents at scale, delivering a new class of AI applications powered by analytics, predictive models, and agents. Dataiku has witnessed rapid acceleration of GenAI and AI agent adoption over the past year. Over 20% of customers now use Dataiku to integrate GenAI into their business and data workflows, with multiple projects per customer exceeding 1,000 active use cases. As companies continue their rush to deploy agents, many create clumsy architectures where agents operate without proper IT control, vary in quality and relevance, and are sprawled ungoverned across teams. Dataiku solves this by augmenting The Universal AI Platform with agents as true enterprise systems — grounded in trusted data, embedded in operational workflows, connected to all AI inputs, and governed with the same rigor as any business-critical asset. 'AI is raw power — and it's time for companies to take control. Companies are on the verge of repurposing two decades of enterprise applications built on systems like Snowflake, Workday, and SAP with a new layer of AI-native applications. These applications demand a combination of analytics, models, and agents that only Dataiku can deliver,' explained Florian Douetteau, co-founder and CEO of Dataiku. 'As companies mature from exploring to operationalizing agents, they'll quickly realize the need to centralize their creation for proper governance instead of letting them sprawl, continuously optimize their performance instead of letting them stale, and fully orchestrate them through existing IT assets instead of raising technical debt. We're building the required capabilities now in The Universal AI Platform for this emerging market need,' Douetteau added. Centralized Agent Creation for Full Governance Companies are already beginning to feel the pain of agentic initiatives everywhere in the organization without rationalization or control. Dataiku supports the central creation of agents with visual agent, a no-code option ideal for non-technical business users, and code agent, a full-code option ideal for developers — both available in the same platform, with key capabilities to ensure governance: Managed Agent Tools for guaranteeing quality and validation of tools used by agents. GenAI Registry for strategic oversight, with agentic use cases centrally reviewed, business value assessed, and risks evaluated. Sign-offs for risk monitoring, with validation workflows off before moving to production. Dataiku LLM Mesh Architecture for Secured Agentic Orchestration Agentic ecosystems pose growing security and governance risks, especially as models evolve rapidly, and costs remain difficult to monitor. IT teams are caught between building and maintaining their own guardrails, locking into a single vendor, or allowing open experimentation — each path introducing its own risks to scale and control. Dataiku provides a robust set of capabilities for IT to orchestrate agents at scale. These capabilities include: The Dataiku LLM Mesh to manage model access across all providers, either for proprietary models (OpenAI, Anthropic, Mistral), through cloud services (Bedrock, Azure, Gemini), or via open source models like Llama and DeepSeek through self-hosting. to manage model access across all providers, either for proprietary models (OpenAI, Anthropic, Mistral), through cloud services (Bedrock, Azure, Gemini), or via open source models like Llama and DeepSeek through self-hosting. Dataiku Safe Guard to flexibly define and apply guardrails. Agent Connect to centralize agent access across the organization from a single interface, for either dispatching requests to a single agent or having multiple agents working in concert to solve users' requests. Observability and Performance Monitoring for Continuous Agent Optimization AI agents are brittle and dynamic systems: they can generate unexpected errors, and their performance can degrade over time. Companies adopting agents need to move to a mindset of continuous optimization, where agent testing and performance monitoring is routine. Dataiku provides a deep set of capabilities for agent observability and performance monitoring, including: Trace Explorer for full transparency into agent decision-making, input/output flows, and debugging. Quality Guard to evaluate and monitor agent performance continuously with LLM-as-a-judge, evaluation sets, and golden datasets. Cost Guard for real-time usage tracking, budget enforcement, and internal rebilling. Connect Your Agents to Your Business With a uniquely agnostic approach to agentic AI, Dataiku supports all major cloud environments, model providers, and data platforms, including Snowflake, Databricks, Microsoft, AWS, Google, and more — allowing agents to run wherever enterprise data and analytics already live. Because agent development is embedded inside Dataiku's broader Universal AI Platform, customers can fully integrate agents into existing data pipelines, MLOps workflows, and model governance processes, eliminating duplication and delivering higher ROI. Available today, find out more about how you can drive your business forward with AI Agents with Dataiku on The Universal AI Platform at:
