Solvd, Inc.’s Post

NEW! Unified RevOps Dashboards that bring everything together into a single view so you can have the best data quality, pinpoint issues within minutes instead of hours, and efficiently locate problems in workflows. “Today in RevOps, a transformation is occurring, reflecting organizations’ need to get leverage from the vast data assets they’ve amassed. To address these demands, RevOps is rapidly converging into categories across engagement, intelligence, and data automation,” said R "Ray" Wang chairman and founder of Constellation Research. “Customers are asking their RevOps platforms to solve the problems of yesterday’s fragmented tech stacks, revenue processes, and data silos enabling the rise of the new Ops teams, to scale automation and align GTM teams.” Learn more: https://bit.ly/3QhWPCO #DataIntegration #GTMTeams #RevenueOperations

Our portfolio company Harbr has just launched Harbr 5.0, a game-changer in the world of data sharing and collaboration. 🚀 💡 The latest release introduces advanced data sharing features that go beyond data commerce. The platform also offers a new AI feature that enables non-technical users to query data, so technical users can deliver self-service experiences to anyone. Key capabilities include: 🌊 Data Lakes: Manage your data ecosystem your way.  🛒 Marketplaces: Discover, evaluate, and access data effortlessly. 🏢 Workspaces: Pre-configured or customisable for various data use cases.  🔒 Governance: Take control of your entire data ecosystem. Congratulations to the Harbr team on this exciting milestone! 👏 Read all about Harbr 5.0 here: https://lnkd.in/eZ_KdCCV #DataSharing #DataInnovation #DataGovernance #ProductLaunch

🚀 Exciting News! 🚀 I'm thrilled to announce that I've joined the team at Savant Labs, a cutting-edge analytics automation company. Savant is revolutionizing the field as a modern, Cloud-native successor to legacy desktop solutions that promise Analytics for All, but prove too costly and unwieldy to truly democratize analytics. Here's why Savant stands out: 🌐 Cloud Native Access: No more installations or desktop dependencies—access Savant effortlessly through your browser 🔄 Built-in Automation: Say goodbye to expensive "Server" products. Savant's platform includes seamless automation, simplifying your workflows 💡 Rapid Innovation: Leveraging GenAI and LLMs, Savant constantly evolves, enhancing features and capabilities to meet your needs swiftly 🔗 Limitless Sharing & Scaling: With no user licensing costs and real-time, frictionless collaboration, Savant enables limitless sharing and scaling. Focus on running your business without worrying about data security or desktop constraints I'm super excited to be part of this journey alongside Chitrang Shah, Ryan Bankhead, Matthew Mesher, Barry Burns, Yunfeng Yang, Shaan Mistry and the rest of the team, and can't wait to contribute to helping businesses unlock their full potential with Savant. #SavantLabs #AnalyticsAutomation #ForAll #CloudNative #DataScience #GenAI

What's the best call-recording technology for an SMB or early-stage company? 🤔 I recently asked this question in the RevOps Co-op myself, as I was looking for something that checked the following boxes: ✅ free or low cost ✅ HubSpot integration ✅ accurate call summaries ✅ easy and simple to get started I could've done a Google search, done some research on my own, but I wanted a shortcut, so instead I just asked the community, and within 30 minutes here are the options they gave me: CloudTalk Aircall Fathom - AI Meeting Assistant (several recommendations for this one) Avoma Grain I ended up going with one of the above, and the community feedback was spot on. 👌 That's the power of community y'all 💪 Thanks to Kutay Yalçınkaya, Lily Youn Jaroszewski, Andrea Rist, Dan Veres, Rex Biberston, Jon Martin, Kristen Traynor, Anmol Kapoor and other community members for sharing their feedback and recommendations on this topic. Any products that we missed here? If so drop 'em in the comments below 👇 #revops #revenueoperations #salesops #salesoperations #csops #marketingops #marketingoperations #mops #gtmops #alltheops #community

2️⃣ Reporting Problem #2: Managing the collection of consumption data, stakeholder engagement metrics, and other ESG data from numerous stakeholders via email and in spreadsheets is time-consuming, error-prone and ineffective. 💡 Scaler’s Solution: A Survey Tool that connects directly to your ESG database ✅ UX that anyone can use and understand, including (unlimited) stakeholders across functions and knowledge level. ✅Create custom surveys from a database of all variables collected in Scaler. No manual question creation necessary, input is automatically validated against metric parameters, and previous responses are included to give recipients guidance. ✅Manage responses by their status and easily send reminder requests. ✅Import responses directly after checking input against manual and automatic thresholds and request changes from survey recipients where necessary. Import collected data into your database with the click of a button, with timestamped data provenance available for audit purposes. Struggling during reporting season again? Learn how Scaler is addressing the problems the whole industry is facing. #esgreporting #sfdr #gresb #csrd #gri #cre #realestate

Why AIOps at TriMap Solutions? At TriMap Solutions, we are constantly seeking innovative solutions to optimize our IT operations and drive business success. AIOps offers a range of use cases that align with our goals, including incident detection, noise reduction, event correlation, continuous improvement, intelligent alerts, data integration, incident auto-remediation, and capacity optimization. AIOps use cases: IT Noise Reduction: Example: AIOps tools can analyze the large volume of alerts and events generated by IT systems, correlate related alerts, and prioritize the most critical ones. This helps reduce alert fatigue for IT teams. Predictive Analysis and Anomaly Detection: Example: AIOps can analyze historical data and patterns to predict potential issues or anomalies before they occur, allowing IT teams to proactively address problems. Root Cause Analysis: Example: AIOps can quickly identify the root cause of issues by analyzing data from various sources, such as logs, metrics, and events, and uncovering hidden relationships and dependencies. Event Correlation and Intelligent Alerting: Example: AIOps can group related events and alerts, reducing the number of notifications and ensuring that only the most critical issues are surfaced to the IT team. Automation: Example: AIOps can automate various IT operations tasks, such as incident response, remediation, and configuration management, improving efficiency and reducing manual effort. Capacity Optimization: Example: AIOps can analyze resource utilization patterns and trends to help IT teams optimize capacity planning and provisioning, ensuring that infrastructure can handle fluctuating workloads. Eliminating Tool Sprawl: Example: AIOps can consolidate data from multiple monitoring and management tools, providing a unified view of the IT environment and reducing the complexity of managing disparate tools. Optimizing CI/CD Pipelines: Example: AIOps can analyze data from the software development lifecycle, identify bottlenecks, and recommend improvements to the CI/CD process, leading to faster and more reliable application deployments. These use cases demonstrate how AIOps can help IT organizations improve operational efficiency, reduce downtime, and make more informed decisions based on data-driven insights. #AIOps #ITSupport #ITOperations #DigitalTransformation #CloudComputing #ITAutomation #MachineLearning #DataAnalytics

The most successful AI companies in the world are picking TetraScience to bring these use cases to life in pharma. Nice blurb from the article: "Scientific AI is the key to solving humanity's grand challenges, starting with improving and extending life through more effective and safer therapeutics. Our partnership with Databricks is essential to ensuring AI is the transformational catalyst that improves the velocity and quality of innovation, transforming the economics of this vital industry. Through Delta Sharing we enable scientists and data scientists to achieve 'AI-native' faster and unlock ROI on their data faster." – Patrick Grady, CEO at TetraScience

💥 💥 Good news! #WhaleOps has recently been accredited as a High-Tech Enterprise. This recognition underscores the company's commitment to innovation and its significant contributions to the technological landscape. Stay tuned for more updates as #WhaleOps continues to make waves in the tech world with its groundbreaking innovations and forward-thinking initiatives. #technology #innovation #dataops

Exciting to all of us at Datastax partnering with #AWS and #UDigital to take their #application powered by #astraDB into production in 30 days. The recommendation engine built on #AstraVectorDB on the AWS Platform is delivering exceptional results to the end customers. Very valuable knowledge shared by Ganesh Sawhney on the latest Innovations at AWS, the benefits that ISVs like DataStax bring to Startups and why it is relevant to leverage the #AWSMarketplace for Building Applications. Tune in to hear Aditya Kumar sharing and demonstrating #arrevoice. Interesting to know from the Head of Engineering evaluating multiple technologies considering every aspect including the support and relevance. Check out the video to learn more about how Developers at U Digital evaluated Milvus, QDrant, Pinecone, and Weviate and chose #astraDB #astradb #AWS #recommendationengine #successstory #awsmarketplace #awsDataStaxbettertogether #genAI #partnerships #developers Ganesh Sawhney Aditya Kumar Bulu Thaodem Smita Satyavada Rubina Vishram Kumara Raghavan Pandurang Nayak Harry Ault Abhishek Reddy Shruti S Gurpreet Singh Jihad Dannawi Michelle Byrd Natalie Malloy Kiyu Gabriel Siri Lackovic Stephanie Chung

Met people, listened to few talks. Generally speaking, there is still a lot to figure out about the AI landscape. In my opinion the quality/maturity of the insights around AI isn't high, given also the lack of presence from the enterprise space which may be also telling about where we are today Also seems to be some themes around the intersection of AI and blockchain to solve various challenges around democratization and attribution/IP which for me still brings a level of skepticism around implementation/execution given the history of crypto exchanges (which is extremely oxymoronic) and smart contract compromises/failures. After all they are written by developers (As we know, all developers write perfect codes that never fail 🙃) and from my experience many knows nothing about writing code in a secure manner If there is anything we need to solve, it might be to equip more developers/engineers with knowledge on how to write codes that do not compromise on security. Security is also unfortunately a under invested area in most companies as there's a shallow understanding of it and it is not as visible and costs a lot Many companies also perform more "black" box style testing and prevention around systems on security like running VAPT testing and using monitoring tools, which honestly in insufficient as it does not understand the nuances around your systems I'm digressing but nevertheless the SuperAI event was a good and fun one and I thoroughly enjoyed myself