Cognida.ai

Can AI machines have ethics? Should it? We are thrilled to share that Sumesh Balakrishnan joined industry leaders Sanjay Jesrani and Vikram Mamidipudi at the AI innovation Summit 2024. More than 2000 finance professionals gained insights about Ethical Considerations of AI in Accounting & Finance & Data Privacy. Learn about our practical AI solutions for the finance industry https://lnkd.in/g4eVx3RD #artificialintelligence #aiinfinance #financetransformation

How is #projectmanagement evolving with #artificialintelligence? Here's what Dipankar, our Senior Technical Manager thinks https://lnkd.in/dwh23CPJ #practicalai #blog #innovation

Mid-Year Reflection : Celebrating Our Achievements and Looking Ahead As we reach the halfway point of 2024, we reflect on our journey and share key milestones. - Strong Market Position: Our exceptional performance in H1 2024 underscores our strong market position and the trust our clients place in our innovative AI solutions and capabilities. - Practical AI Solutions for Enterprises: Our growing library of foundational solutions showcases what's possible with AI��improving revenues, driving efficiencies, and enhancing customer loyalty. These richer client conversations have opened up new opportunities, cementing our leadership in practical AI solutions for the enterprise. - Zunō Product Advancements: The latest enhancements to our Zunō suite are designed to deliver superior value, making it easier to create multimodal solutions using an integrated approach across the suite's capabilities. - Join Us on Our Journey: We invite forward-thinking clients and top-tier professionals to join us in our mission to deliver cutting-edge, practical AI solutions that provide tangible competitive advantages. Thank You for Your Support! Together, let’s continue to achieve great things in 2024! Cognida.ai #CognidaAI #AI #PracticalAI

We are thrilled to announce that Sumesh Balakrishnan, CFO & Cofounder, Cognida.ai will be a distinguished speaker at the ICAI AI Innovation Summit 2024! 🌟 Our company is proud to participate in this prestigious event, organized by ICAI, on July 16-17 at Shilpakala Vedika, Hyderabad. Join us to hear Sumesh share valuable insights on Practical AI solutions for accounting, auditing, and governance. This is an excellent opportunity to learn from industry leaders and network with professionals passionate about the future of AI. Don't miss out on this enriching experience! Secure your spot now: https://ai.icai.org/aiday/ #aiinfinance #aiinnovation #practicalai #artificialintelligence #events #networking #cfos

A Mixture of Models (MoM) approach in AI combines multiple specialized models to tackle complex business challenges more effectively. By leveraging the strengths of various models, MoM enhances accuracy, robustness, and overall performance in decision-making processes. For example, a food manufacturing company can optimize its strategic sourcing of corn by integrating multiple AI / ML models. A sample approach could be as follows: Price Prediction Model Model: Time-series forecasting (ARIMA, LSTM) Function: Predict future prices of corn based on historical price data, seasonal trends, and market indicators. Benefit: Provides insights into potential price fluctuations, helping the company time its purchases to minimize costs. Supply Risk Analysis Model Model: Machine learning classification (Random Forest, Gradient Boosting) Function: Assess the risk of supply chain disruptions by analyzing factors such as weather patterns, geopolitical events, and supplier reliability. Benefit: Identifies potential risks that could impact the supply chain, allowing for contingency planning and the selection of reliable suppliers. Cost Optimization Model Model: Linear programming, optimization algorithms Function: Determine the optimal mix of suppliers, contract types, and purchase quantities to minimize overall costs while meeting demand. Benefit: Ensures cost-effective sourcing by balancing purchase price, transportation and inventory costs. Supplier Evaluation Model Model: Multi-criteria decision analysis (MCDA) Function: Evaluate and rank suppliers based on criteria such as price, quality, delivery performance, and financial stability. Benefit: Facilitates the selection of the best suppliers. Demand Forecasting Model Model: Regression analysis, machine learning (XGBoost, Neural Networks) Function: Predict future demand for corn based on historical sales data, market trends, and production plans. Benefit: Helps align sourcing strategies with anticipated demand, reducing the risk of overstocking or stockouts. An orchestrator for these models is critical to ensure meaningful output. I will delve into it in the next post. The outputs from the models can be combined and shown through a centralized dashboard. For example - Price Trend Graph: Displays future price predictions over time. Risk Heatmap: Visualizes supply risk levels across different suppliers and regions. Optimization Insights: Shows the recommended sourcing strategy, including optimal purchase quantities, contract types, and cost-saving opportunities. Supplier Rankings: Lists suppliers ranked based on evaluation criteria, highlighting the top recommendations. This dashboard (sample image below) allows procurement teams to view all relevant data and insights at a glance, facilitating informed and strategic sourcing decisions. Discover how advanced AI techniques can revolutionize your sourcing processes. Reach out to Cognida.ai #AI #MachineLearning #StrategicSourcing #SupplyChain

Maximize operational efficiency by leveraging AI-powered centralized knowledge bases. Seamlessly access and share critical insights for enhanced productivity. Transform your work environment with practical AI solutions. To know more, read our blog https://lnkd.in/gDagJEvs #artificialintelligence #smartworkplace #efficiency #productivity #collaborationsoftware

Celebrating the innovation and success of Blitz Cohort 1, T-Hub’s flagship program to turn ideas into prototypes in just 45 days! Over 45 days, 24 selected startups transformed their ideas into fully functional prototypes. This program, designed to harness and amplify the potential of budding entrepreneurs, has culminated in an inspiring showcase of innovation and determination. Startups, mentors, and partners gathered to kick off Proto Day, where they shared their ideas and showcased their prototypes. Entrepreneurs exchanged insights, discussed challenges, and celebrated their progress, building a community of support and shared vision. Shoutout to our partners whose collaborative efforts have been instrumental in shaping the journey of Blitz. T-Hub congratulates all the startups and wishes them the best in beginning their new ventures. fn7.io | Xperian | UXLabs | Open Weaver | Cognida.ai | Quantana | User Connect Consultancy | Vishal Reddy | Arun Chinnachamy | Anirudh Rao Gauravaram | Raj Thota | Dinesh Sarvodey Vinay Peddinti | Rajesh D (Raj) | Harshitha Chowdary | Ashia Avasthi | Bashireddy Saikumareddy #InnovatewithTHub #InnovationEcosystem #BlitZ #Startups #ProductDevelopment

Help customers find products they are looking for, with #recommendations from #zunoassist, a practical AI solution from Cognida.ai. Learn How: https://lnkd.in/dJigCQMd #personalization #artificialintelligence #practicalai #generativeai

Exciting news from Cognida.ai We recently took part in Blitz 2024, organized by T-Hub, a 45-day sprint dedicated to building prototypes. Our dynamic duo, Uttam Byragoni and Dipankar Sonwane, shared insights about our AI accelerator, Zuno, and answered AI & ML-related questions. Participants exchanged ideas about developing a clinical decision support system for physiotherapists, focusing on data collection and system development. Other interesting topics included an AI career platform, an AI-based LinkedIn profile generator, an AI-driven digital marketing product, image design and text embedding strategies, and a price prediction model for properties based on factors such as beds, baths, locality, among other key factors. It was a great experience exploring these diverse Practical AI innovations! #practicalai #artificialintelligence #innovation #Blitz2024