Latest news with #SalesforceDataCloud
Business Wire
4 days ago
- Business
- Business Wire
Monte Carlo First Data + AI Observability Company to Launch Native Integrations with Salesforce to Ensure Reliable, AI-Ready Customer Data
SAN FRANCISCO--(BUSINESS WIRE)-- Monte Carlo, the leader in data + AI observability, today unveiled its new suite of native integrations with Salesforce, empowering teams to ensure trust in the data that powers critical business workflows and AI applications. With this release, Monte Carlo becomes the first data + AI observability platform to provide end-to-end monitoring for Salesforce CRM and Salesforce Data Cloud —two of the most business critical and data-rich systems in the enterprise. Monte Carlo's integration with Salesforce Data Cloud provides AI-ready data to Agentforce —Salesforce's AI agent platform—that allows users to build, customize, and deploy autonomous AI agents to support employees and customers. Early access users are already identifying business-critical use cases for this new integration: 'Monte Carlo's Salesforce integration will unlock a whole new level of confidence in our CRM data. We're excited to catch issues—like missing fields or broken syncs—before they hit Snowflake or affect reporting. Moreover, as we are in a process of deprecating formula fields, we will use this feature to ensure reliability across all pipelines. We'll be able to stop bad data before it affects our Go-To-Market operations, improving executive trust in our insights. Best of all, it will save our OPs teams hours and promoting data quality as everyone's responsibility.' — Pedro Sá Martins, Head of Engineering at Outsystems Keep reading to learn more about what Monte Carlo's new native Salesforce integration can do—and how you can use it to unlock more value from your Salesforce data. Bringing Trust to Salesforce Data Salesforce data drives business-critical decisions across go-to-market teams. Yet data quality issues like duplicates, nulls, and invalid formats often go undetected until it's too late—resulting in missed revenue, wasted budget, and eroded customer trust. With Monte Carlo's new Salesforce integrations, teams can now monitor the reliability of CRM and Data Cloud data directly within the Salesforce environment, making it easy for both data teams and business users to detect, triage, and resolve data issues without having to wait until it lands in the warehouse. The integration delivers powerful benefits across the modern enterprise: Data, sales, and revenue operations teams can work together to quickly trace and resolve issues before they impact downstream systems Marketing teams can validate their 360-degree customer profiles, reducing wasted spend on misdirected campaigns AI teams can create powerful applications knowing the underlying data is reliable Business users can leverage Agentforce to automate their day-to-day workflow with the same trustworthy data 'Salesforce is one of the most mission-critical systems in the enterprise, but when you think about just how many individuals it touches in a given organization, it should come as no surprise that it's vulnerable to bad data,' said Lior Gavish, co-founder and CTO of Monte Carlo. 'With this integration, we're helping customers ensure the accuracy of this critical data source, where the potential issues can often be the most damaging and hardest to detect.' Native, Scalable, and Easy to Use Key features of the new integration include the ability to: Catch data quality issues early, like nulls, duplicates, and missing values—before they impact dashboards or decision-making Ensure data consistency across systems, by monitoring syncs between Salesforce and your warehouse or lakehouse Prevent broken reports and workflows, with timely alerts for schema changes in Salesforce CRM and Data Cloud Apply custom business logic checks to spot the issues that matter most to your team About Monte Carlo Monte Carlo created the data + AI observability category to help enterprises drive mission-critical business initiatives with trusted data + AI. Companies like NASDAQ, Honeywell, Roche, and others rely on Monte Carlo to detect and resolve data issues at scale. Named a 'New Relic for data' by Forbes, Monte Carlo is the top-rated observability solution on G2, Gartner Peer Reviews, and more. To learn more or request a personalized demo, visit:
Time of India
27-06-2025
- Business
- Time of India
NetApp appoints disruptive innovator Syam Nair as CPO, underscoring its commitment to bold product vision
NetApp , the intelligent data infrastructure company, today announced the appointment of Syam Nair as its new Chief Product Officer (CPO), effective Monday, 7 July 2025. Nair succeeds Harv Bhela, who concluded his tenure in June following a successful chapter of product leadership. Nair is a former Salesforce and Microsoft executive renowned as a maverick innovator in the industry, bringing over 25 years of experience in scaling cloud platforms and driving hyper-growth. In his new role, Nair will lead NetApp's product and engineering teams to accelerate innovation in hybrid cloud and AI offerings, and advance NetApp's strategic vision for data-driven business growth. 'I am thrilled to welcome Syam to NetApp's leadership team. He joins us at a time when our customers are looking to NetApp to help them deliver data-enabled growth and productivity: not only must they innovate to stay ahead, but they must also simplify to improve productivity and agility. This is a balance Syam has mastered throughout his career,' said George Kurian, Chief Executive Officer at NetApp. 'Syam's proven track record – from building planet-scale Azure data services at Microsoft to spearheading hyper-scale platforms like Salesforce Data Cloud – is exactly what we need as we sharpen our focus on high-growth markets. Importantly, he's not only a brilliant technologist but also a people-first leader who builds teams grounded in integrity and a growth mindset. Under Syam's product leadership, I'm confident NetApp will deliver even more innovation and value for customers, strengthen our position as a cloud, data and AI leader, and remain at the forefront of what's next.' Syam Nair joins NetApp from Zscaler, where he served as Chief Technology Officer and Executive Vice President of Research & Development. Nair brings more than two decades of engineering and product development leadership, with expertise in incubating new technologies from the ground up and leading large teams through transformations at scale. During his tenure at Microsoft, Nair was part of the leadership team that built and expanded globally distributed Azure data services. At Salesforce, his leadership pioneered industry-defining innovations including Salesforce Data Cloud, the next-generation Agentic platform that significantly advanced the company's AI-powered customer engagement capabilities. 'I'm excited to join NetApp at such a pivotal time in the industry. Enterprises are embracing cloud and AI to transform their operations, and NetApp is uniquely positioned to help them succeed with its rich portfolio and talent,' said Syam Nair, Chief Product Officer at NetApp. 'I've spent my career tackling complex technological challenges and leading teams through transformations for hyper-growth. I'm thrilled to bring that experience to NetApp. We will set a bold vision for the future of hybrid cloud data services and execute with a growth mindset and relentless focus on customer success. NetApp has an inspiring mission and a values-driven culture and I'm honoured to be part of the team and eager to drive the next wave of innovation for our customers and partners.'
Business Upturn
25-06-2025
- Business
- Business Upturn
NetApp Appoints Disruptive Innovator Syam Nair as Chief Product Officer, Underscoring its Commitment to Bold Product Vision
San Jose, Calif., United States: NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced the appointment of Syam Nair as its new Chief Product Officer (CPO), effective Monday, July 7, 2025. Nair succeeds Harv Bhela, who concluded his tenure in June following a successful chapter of product leadership. This press release features multimedia. View the full release here: Syam Nair, Chief Product Officer at NetApp Nair is a former Salesforce and Microsoft executive renowned as a maverick innovator in the industry, bringing over 25 years of experience in scaling cloud platforms and driving hyper-growth. In his new role, Nair will lead NetApp's product and engineering teams to accelerate innovation in hybrid cloud and AI offerings and advance NetApp's strategic vision for data-driven business growth. 'I am thrilled to welcome Syam to NetApp's leadership team. He joins us at a time when our customers are looking to NetApp to help them deliver data-enabled growth and productivity: not only must they innovate to stay ahead, but they must also simplify to improve productivity and agility. This is a balance Syam has mastered throughout his career,' said George Kurian, Chief Executive Officer at NetApp. 'Syam's proven track record – from building planet-scale Azure data services at Microsoft to spearheading hyper-scale platforms like Salesforce Data Cloud – is exactly what we need as we sharpen our focus on high-growth markets. Importantly, he's not only a brilliant technologist but also a people-first leader who builds teams grounded in integrity and a growth mindset. Under Syam's product leadership, I'm confident NetApp will deliver even more innovation and value for customers, and strengthen our position as a cloud, data and AI leader, and remain at the forefront of what's next.' Syam Nair joins NetApp from Zscaler, where he served as Chief Technology Officer and Executive Vice President of Research & Development. Nair brings more than two decades of engineering and product development leadership, with expertise in incubating new technologies from the ground up and leading large teams through transformations at scale. During his tenure at Microsoft, Nair was part of the leadership team that built and expanded globally distributed Azure data services. At Salesforce, his leadership pioneered industry-defining innovations including Salesforce Data Cloud, the next generation Agentic platform that significantly advanced the company's AI-powered customer engagement capabilities. 'I'm excited to join NetApp at such a pivotal time in the industry. Enterprises are embracing cloud and AI to transform their operations, and NetApp is uniquely positioned to help them succeed with its rich portfolio and talent,' said Syam Nair, Chief Product Officer at NetApp. 'I've spent my career tackling complex technological challenges and leading teams through transformations for hyper-growth. I'm thrilled to bring that experience to NetApp. We will set a bold vision for the future of hybrid cloud data services and execute with a growth mindset and relentless focus on customer success. NetApp has an inspiring mission and a values-driven culture and I'm honored to be part of the team and eager to drive the next wave of innovation for our customers and partners.' About NetApp NetApp is the intelligent data infrastructure company, combining unified data storage, integrated data, operational and workload services to turn a world of disruption into opportunity for every customer. NetApp creates silo-free infrastructure, harnessing observability and AI to enable the industry's best data management. As the only enterprise-grade storage service natively embedded in the world's biggest clouds, our data storage delivers seamless flexibility. In addition, our data services create a data advantage through superior cyber resilience, governance, and application agility. Our operational and workload services provide continuous optimization of performance and efficiency for infrastructure and workloads through observability and AI. No matter the data type, workload, or environment, with NetApp you can transform your data infrastructure to realize your business possibilities. Learn more at or follow us on X , LinkedIn , Facebook , and Instagram . NETAPP, the NETAPP logo, and the marks listed at are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners. View source version on Disclaimer: The above press release comes to you under an arrangement with Business Wire. Business Upturn takes no editorial responsibility for the same. Ahmedabad Plane Crash
Business Wire
24-06-2025
- Business
- Business Wire
NetApp Appoints Disruptive Innovator Syam Nair as Chief Product Officer, Underscoring its Commitment to Bold Product Vision
SAN JOSE, Calif.--(BUSINESS WIRE)--NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced the appointment of Syam Nair as its new Chief Product Officer (CPO), effective Monday, July 7, 2025. Nair succeeds Harv Bhela, who concluded his tenure in June following a successful chapter of product leadership. Nair is a former Salesforce and Microsoft executive renowned as a maverick innovator in the industry, bringing over 25 years of experience in scaling cloud platforms and driving hyper-growth. In his new role, Nair will lead NetApp's product and engineering teams to accelerate innovation in hybrid cloud and AI offerings and advance NetApp's strategic vision for data-driven business growth. 'I am thrilled to welcome Syam to NetApp's leadership team. He joins us at a time when our customers are looking to NetApp to help them deliver data-enabled growth and productivity: not only must they innovate to stay ahead, but they must also simplify to improve productivity and agility. This is a balance Syam has mastered throughout his career,' said George Kurian, Chief Executive Officer at NetApp. 'Syam's proven track record – from building planet-scale Azure data services at Microsoft to spearheading hyper-scale platforms like Salesforce Data Cloud – is exactly what we need as we sharpen our focus on high-growth markets. Importantly, he's not only a brilliant technologist but also a people-first leader who builds teams grounded in integrity and a growth mindset. Under Syam's product leadership, I'm confident NetApp will deliver even more innovation and value for customers, and strengthen our position as a cloud, data and AI leader, and remain at the forefront of what's next.' Syam Nair joins NetApp from Zscaler, where he served as Chief Technology Officer and Executive Vice President of Research & Development. Nair brings more than two decades of engineering and product development leadership, with expertise in incubating new technologies from the ground up and leading large teams through transformations at scale. During his tenure at Microsoft, Nair was part of the leadership team that built and expanded globally distributed Azure data services. At Salesforce, his leadership pioneered industry-defining innovations including Salesforce Data Cloud, the next generation Agentic platform that significantly advanced the company's AI-powered customer engagement capabilities. 'I'm excited to join NetApp at such a pivotal time in the industry. Enterprises are embracing cloud and AI to transform their operations, and NetApp is uniquely positioned to help them succeed with its rich portfolio and talent,' said Syam Nair, Chief Product Officer at NetApp. 'I've spent my career tackling complex technological challenges and leading teams through transformations for hyper-growth. I'm thrilled to bring that experience to NetApp. We will set a bold vision for the future of hybrid cloud data services and execute with a growth mindset and relentless focus on customer success. NetApp has an inspiring mission and a values-driven culture and I'm honored to be part of the team and eager to drive the next wave of innovation for our customers and partners.' About NetApp NetApp is the intelligent data infrastructure company, combining unified data storage, integrated data, operational and workload services to turn a world of disruption into opportunity for every customer. NetApp creates silo-free infrastructure, harnessing observability and AI to enable the industry's best data management. As the only enterprise-grade storage service natively embedded in the world's biggest clouds, our data storage delivers seamless flexibility. In addition, our data services create a data advantage through superior cyber resilience, governance, and application agility. Our operational and workload services provide continuous optimization of performance and efficiency for infrastructure and workloads through observability and AI. No matter the data type, workload, or environment, with NetApp you can transform your data infrastructure to realize your business possibilities. Learn more at or follow us on X, LinkedIn, Facebook, and Instagram. NETAPP, the NETAPP logo, and the marks listed at are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners.
Yahoo
15-05-2025
- Business
- Yahoo
Salesforce beefs up agent capabilities with Convergence acquisition
This story was originally published on CIO Dive. To receive daily news and insights, subscribe to our free daily CIO Dive newsletter. Salesforce plans to bolster its agentic AI capabilities with the acquisition of the CRM vendor said in a Thursday announcement. The startup develops task-automation tools that can perform complex tasks and adapt to some changing conditions in real time, according to Salesforce. Salesforce will leverage Convergence technology and talent to advance Agentforce, an agent-building and orchestration platform it deployed last year. The acquisition is expected to close in Q2 of Salesforce's fiscal year 2026, which ends July 31. Terms of the deal were not disclosed. 'This acquisition represents the direction Salesforce wants to take with AI,' Mila D'Antonio, principal analyst of customer engagement at Omdia, said in an email to CIO Dive. The vendor is banking on the agent platform to shape its CRM strategy by adding autonomous capabilities that go beyond today's copilots, D'Antonio added. Agentforce is a critical platform for Salesforce, as agentic AI has taken hold of the CRM market. In February, CEO Marc Benioff described the company's Q4 as 'the quarter of Agentforce,' highlighting that 5,000 customers have signed on to the platform as of October — 3,000 of which are paying for the service. 'Salesforce is betting the farm on Agentforce,' said Kate Leggett, Forrester VP and principal analyst, in an email to CIO Dive. 'As AI agents become more mature, it erodes the value of their current clouds.' The company's efforts to port its products to Agentforce so that it can better align data and workflows across its clouds is grounded in its AI-focused strategy, as is its push to fuel agents with Salesforce Data Cloud customer data, Leggett said. A flexible pricing plan for Agentforce announced Thursday, also plays into the platform strategy. The move indicates Salesforce is 'rethinking their pricing model to protect their revenue stream as more user seats transition to AI work,' Leggett said. The new pricing model includes flex credits, which come in packs of 100,000 for $500, to scale Agentforce across workflows; a Flex Agreement that enables companies to shift between user licenses and flex credits as needed; and Agentforce user licenses and add-ons, a per user, per month plan for unlimited access to customer-facing agents. Acquiring Convergence brings AI talent along with technology, Salesforce said in the announcement. Convergence, co-founded in 2024 by two machine learning engineers, boasts employees from Google DeepMind, PolyAI and Meta and 'brings in a highly skilled team that Salesforce clearly wants to build around,' D'Antonio said. 'What Salesforce is aiming for [with] Convergence is a step-change from Einstein where AI agents can actually perceive context, make decisions and adapt dynamically across complex workflows,' said D'Antonio, referencing the company's first AI platform released in 2016. 'Eventually an AI agent will manage an entire customer engagement from end to end.' Disclosure: Informa, which owns a controlling stake in Informa TechTarget, the publisher behind CIO Dive, is also invested in Omdia. Informa has no influence over CIO Dive's coverage. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
