Sirius AI

CEO of Anthropic made this astonishing claim "we are 6 months away from AI writing 90% of all code being written" While it is a little alarmist, there were signals already since late last year of large firms already starting to do this. Sundar Pichai said in Nov that AI writes 25% of code at Google already. Short term, there is still need for coders to guide the code development by GenAI models, figure out how it links with wider systems, adheres to specific nuances of a firm. Long term the future is certain, code will be written by machines for machines and not in a language that we can understand. How far we are from that? Maybe couple of quarters or maybe couple of years but not that far out https://lnkd.in/gx7iz3Pi #AIJobs #EconomicImpact Sirius AI Tommy Marshall Sanjay Ojha

CEO of Anthropic made this astonishing claim "we are 6 months away from AI writing 90% of all code being written" While it is a little alarmist, there were signals already since late last year of large firms already starting to do this. Sundar Pichai said in Nov that AI writes 25% of code at Google already. Short term, there is still need for coders to guide the code development by GenAI models, figure out how it links with wider systems, adheres to specific nuances of a firm. Long term the future is certain, code will be written by machines for machines and not in a language that we can understand. How far we are from that? Maybe couple of quarters or maybe couple of years but not that far out https://lnkd.in/gx7iz3Pi #AIJobs #EconomicImpact Sirius AI Tommy Marshall Sanjay Ojha

?????????????????? ???? ?????? ???????? ????????????????????: ?? ?????? ???????????????? ?????? ?????????????????? ???????????????? Financial institutions rely on vast amounts of unstructured data—from compliance reports and market research to ESG disclosures and financial filings. Extracting accurate and contextual insights from these complex documents remains a challenge, with existing AI solutions often failing to handle multi-format data, tables, and infographics effectively. At ????????????????, we are addressing this challenge with a ?????????????????? & ????????????????-?????????? ???? ???????? ???????????????????? ???????????????? that goes beyond conventional data extraction methods. ?????? ????????????????: ???? ???????? ?????????????????????? ????????, ?????? ???????? ???????????????? ???? ?? Knowledge Graphs & KPI Ontologies – Maps relationships between KPIs, enabling context-aware data extraction. ?? Automated Validation & KPI Mapping – Ensures data accuracy through real-time validation and mathematical agents. ?? Handling Multi-Format Data – Extracts insights from text, tables, and infographics while filling in missing details. ?????????? ???????? ???????????????? ???????????????? ???????????? ? ???????????????? ???????????? & ???????????????????? ???????????????????? – Ensuring precise tracking of regulatory and contractual obligations. ? ?????????????????? ?????????????????????? ???????????????? – Automating KPI extraction across diverse financial documents. ? ?????????????? ???????????????????? & ???????????? ?????????????? – Reducing manual effort in structured data population and verification. ? ?????? ???????? ???????????????????? ?????? ?????????? ?????????????????? – Standardizing and validating ESG KPIs from multi-format reports. ???????????? ?????????????? ???? ????????-?????????? ???????????????????????? ????% ?????????????????????? ???? ???????? ???????????????????? ???????????????? ????% ???????????????? ???? ???????? ???????????????? By bridging AI with business intelligence, this approach is transforming how financial firms extract, validate, and utilize critical data for decision-making. ?? Read more about this innovative approach here: https://lnkd.in/gKUymVmw #SiriusAI #AIforFinance #AIConsulting #DataExtraction #FinancialServices #ESG #Compliance #AIInnovation #ML #AI #GenAI #CoreAI Sanjay Ojha Abhinav Vij Tommy Marshall Anupam Shringi Divyank Sinha Vijay Saini Prateek Agarwal Gaurav Pande Pavan Bhat

AI is going through a Hard LiftOff "Deep researcher has the potential to do single digit economic activity of the entire world" this is not billions but Trillions of dollars of potential impact according to OpenAI. This is an instance where I would recommend: Take a minute to pause and absorb this nugget below. Deep researcher based on o3 surpasses a "human PHD holder with web access" This is not an expert or professional, PHDs are at the cutting edge of their field and they have the ability to search the web but..... the models are already beating that. For financial services potential of these capabilities of "research based models with agents added" is huge in customer resolution, fraud investigation, legal documentation, disputes and compliance. #Ai #GenerativeAI #LiftOff Sanjay Ojha Narendra Mulani Tommy Marshall Jon Barhorst Sirius AI

Very excited for Sirius AI to join the Georgia Bankers Association as an #associatemember - we look forward to further serving the membership. Thanks to Bogan Brannen for the support and encouragement. Abhinav Vij Sanjay Ojha James Stevens

Sirius AI attended a great event today in midtown ATL - thanks to Georgia Banking Company and Atlanta Business Chronicle Jagruti S. crushed it! Glen Sarvady Jeff Gapusan Ali Raza James Stevens John McNair Abhinav Vij Sagar Badve David Rubinger

Wolff emphasizes that careful prompt engineering is worth the effort, and argues that: "as AI models get more sophisticated, precise guidance becomes MORE important, NOT LESS" I wonder if this observation is true, I haven't seen this yet but it would be great to get some insights on this. https://lnkd.in/gdQ7VirT #GenAI #PromptEngineering

AI agents are the future of productivity improvements using AI where they are embedded in workflows to analyse data, determine possible actions and take decisions. LangChain's 'State of AI' report is a good read to see where this space is evolving: 1. Task specific agents are performing better than generic models: We in SiriusAI have seen this everytime we deploy custom agents and the difference is stark-40%+ 2. Advances in Memory and models: these are driving more accurate and personalized interactions. Constantly evaluate and replace models due to the pace of change of capabilities.... we live in exciting times!! 3. Embedding in workflows:50%+ respondents already have agents in production and it is likely to increase to 75%+. Deploying the agents for a use case and as part of a workflow makes a lot of difference and eases the change management process as well 4. Traceability is the top control needed and Chain of thought with audit controls are essential 5. Lastly, Research, productivity and customer services are top use cases Dive into the report below: https://lnkd.in/gtBxnQmr #Langchain #AI #AutonomousAgents #Innovation Sirius AI Narendra Mulani Sanjay Ojha

Reflections on the recent BCG report on AI..

We're #Hiring an Inside Sales Representative! Are you a skilled relationship builder with a strong foundation in sales and marketing? We're looking for an Inside Sales Representative to drive our client acquisition efforts and support our GTM strategy with impactful lead generation. This role is a great fit for professionals who thrive in dynamic environments and have a knack for strategic outreach. Anupam Shringi Divyank Sinha Gaurav Pande Vijay Saini Pavan Bhat Prateek Agarwal Nidhi Singh