Successfully deploying machine learning applications in production isn't just about building great models; it's about understanding both data and model behavior in real time. As enterprises grow, maintaining real-time control over these models becomes essential. Traditional model monitoring often falls short, lacking business context and seamless integration with MLOps. To address these challenges, we've developed Tiger MLCore: an advanced ML Observability and Model Management platform. By leveraging powerful features from Databricks including Unity Catalog; Tiger MLCore offers a robust observability framework that bridges the gap between data science and business operations. Learn more about how Tiger MLCore can enhance ML deployment strategy and drive business value- https://lnkd.in/gmh_jfwS #MachineLearning #MLOps #AI #DataScience #ModelManagement #Databricks #MLObservability Sriram Krishnamurthy Krishna M. Catherine Murphy John Young Sabina Shaikh
Tiger Analytics
Business Consulting and Services
Santa Clara, CA 408,845 followers
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
About us
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
- Website
-
http://www.tigeranalytics.com
External link for Tiger Analytics
- Industry
- Business Consulting and Services
- Company size
- 1,001-5,000 employees
- Headquarters
- Santa Clara, CA
- Type
- Privately Held
- Founded
- 2011
- Specialties
- Machine Learning, Predictive Analytics, Forecasting, Natural Language Processing, Computer Vision, Cloud Data Platform Engineering, Data-as-a-service, Lean Data Governance, Modern BI & Data Warehousing, AI/ML Ops, and ML Product Engineering
Locations
Employees at Tiger Analytics
-
Nilmadhab Mandal
Analytics Director II 23 Years Analytics experience II Analytics Solutioning, Delivery & Advisory II Ex-SAS, Mondelez, Antuit II Building bridge…
-
Randall Nufer
Senior Director - Technology Solutions
-
Amardeep Bhagat
Market Lead - Data, AI & Analytics
-
Neeraj Chandra
Vice President, Analytics Consulting at Tiger Analytics
Updates
-
AI is emerging as a key solution for businesses, from 24/7 fraud detection systems to personalized customer recommendations. As the application of AI tech continues to grow, how can we make sure that we put in place strong ethical safeguards and build responsible and reliable systems? Our Head of Analytics Consulting, Santhanakrishnan Ramabadran, explores the critical topic of responsible development and use of AI in his latest article with Dataquest: ▪ Three levels of Responsible AI: R&D, Engineering, and Advisory ▪ Balancing automation with human-AI collaboration ▪ Ethical considerations in AI development and deployment Discover how we can harness AI's potential while grounding ourselves with ethical principles: https://lnkd.in/g-gBiU33 #Tigerinthenews #ethicalai #responsibleai
-
In our latest edition of 'Lead the Way Forward with Azure', meet Shahbaz Ansari, our Senior Data Engineer, who excels in using #Azure to boost productivity and refine data processes. Discover his innovative strategies, team collaboration techniques, and expert tips for mastering Azure. Ready to #AmplifyYourPotential? Apply for the below roles and join us as we turn complex data into impactful solutions and drive forward with innovation. - Azure Big Data Engineer: https://lnkd.in/g_EFDWgM - Azure Big Data Architect: https://lnkd.in/g2mDN9dj #Leadthewayforwad #wearehiring #azurehiring #amplifyyourpotential #dataengineering Ramya Narayanan
-
We will be at MachineCon 2024 in New York this Friday! Meet us to explore how AI/ML and Data Engineering solutions are helping organizations create new business models and implement algorithms that drive competitive advantage. Our leaders Sam Ramachandran, Greg Weiter, and Gagandeep Singh will also share practical strategies for leveraging advanced AI/ML solutions to unlock your data's full potential. Register today- https://lnkd.in/gp8uSPzE #MachineCon2024 #DataScience #AIInnovation #BusinessIntelligence
-
We recently moderated a panel discussion at CDO Magazine's Executive Boardroom Dinner in Boston. The event brought together leading minds in data and analytics to explore "Future-Proofing Business: The Convergence of AI, Data, and Analytics." The panel delved into crucial topics, including: • Aligning AI, data, and analytics with business objectives • Balancing team structure and cross-functional collaboration • Scaling AI solutions for broader business impact • Navigating opportunities and challenges in the evolving AI landscape It was inspiring to witness the exchange of ideas among industry leaders, shaping the future of data-driven business strategies. Read more- https://lnkd.in/gF-YnWDH Sam Ramachandran Gagandeep Singh Randall Nufer Rachit Dhir Alena Godin Todd James Kiran Kodali
-
In the rapidly evolving landscape of AI and machine learning, robust data infrastructure is crucial. As companies leverage cloud-based solutions like Snowflake to power their AI/ML initiatives, effective cloud cost management is crucial. Uncontrolled costs can escalate quickly, making a robust monitoring system imperative. How can you monitor costs? Our Cost Monitoring tool leverages Snowpark's data processing capabilities to gain valuable insights into Snowflake usage and expenses, helping businesses • Identify optimization opportunities • Increase savings • Enable recurring credit savings Monitoring and managing Snowflake costs is essential for optimizing cloud expenditures. By integrating Snowpark with Python and ML libraries, you'll unlock detailed insights and drive cost-effective operations. Watch our video to learn more… #SnowflakeCostOptimization #AIMLInfrastructure #CloudCostManagement Subramanian T Riaz Abdul Samadh Katie Ecklund Danielle C. Ross Armstrong
-
#TigerSolves Season 2, Episode 4: The Fashion Retailer's Data Ecosystem Makeover "Our data infrastructure is like an overstocked, disorganized warehouse. We can't find what we need when we need it," explained Mark, the CIO of a leading fashion retailer. Faced with persistent data quality issues and manual reporting processes, they urgently needed a solution to remain competitive in the dynamic fashion retail landscape. Enter Tiger Analytics. We designed and implemented a comprehensive data transformation strategy, harnessing the capabilities of #AWS cloud services to revitalize their entire data ecosystem. The outcome? The retailer now operates with an automated catalog modeling platform featuring over 2,500 attributes, enhancing decision-making, reducing costs, and automating business health reporting. Interested in discovering how AI and advanced analytics can elevate your retail operations? Read the full case study here-https://lnkd.in/gfeSShwn #analyticsinfashion #retail #catalog #cloudservices
-
How can organizations make the best use of Microsoft Fabric? With over 35 combined years of working with databases and leading complex data implementation projects, our experts Sudershan Srinivasan and Swapnil Saxena share interesting insights with Microsoft's Suma Manohar on how they’re solving key customer pain points, building powerful reusable frameworks, designing go-to-market strategies and more, with Microsoft Fabric. Tune in to know more about interesting use cases, and adoption patterns, based on real-world client conversations and actual project implementation. https://lnkd.in/g3QA4Dbx #MicrosoftFabric #DataEngineering #Microsoft #Innovation #AI #DataScience #Azure Krishnamurthy S Vignesh P.
Unlocking Microsoft Fabric: Expert Insights & Innovations
https://www.youtube.com/
-
What makes AI tick? You do! On AI appreciation day, we’re tipping our hat to the human intelligence behind this epoch-making technology. To all the AI pioneers, data engineers, data scientists, and experts who’ve worked countless hours, fueled by coffee and passion and our #tigertribe, we’re celebrating you. And while AI may not yet be able to uncover the meaning of life, the universe, and everything, here’s to using it ethically and intelligently, dreaming up solutions to the world’s most pressing problems, and together building a better world. Here’s to you… #aiappreciationday #ai
-
In 2024, data ecosystem modernization is vital for accelerating AI adoption. Scaling AI requires more than algorithms; it demands robust governance, ethics, and strategic data approaches. How to tackle these challenges? Join us at the 18th Annual CDOIQ Program Symposium in MA, USA, where we'll be addressing these crucial challenges in a comprehensive fireside chat moderated by our Chief Sales Officer, Sam Ramachandran, featuring panelists: • Rachit Dhir - BU Head, Insurance, Tiger Analytics • Derrick Higgins - VP, Data Science and AI Solutions, HCSC • Matt Parisi - VP, Business Data Solutions, HCSC • Crystal Son - Executive Director, Data and AI Solutions, HCSC The discussion will focus on key aspects of data modernization for AI scaling: 1. Establishing a centralized, sanitized data foundation 2. Crafting reusable semantic layers for a unified business view 3. Democratizing data access across the enterprise 4. Leveraging APIs and visualization options for tailored data products Our team will also be at booth #28 from July 15-18 to answer your questions on how your organization can embrace data modernization to enhance AI initiatives. Register here- https://lnkd.in/g8fDHhrv #CDOIQ2024 #AI #dataanalytics #datagovernance #datamodernization