Graphit

🔓 Unlock the hidden value in your legacy systems! Many companies grapple with complex hierarchies, operational inefficiencies, and outdated tech that hinder growth and digital transformation. We, at Graphit, have been at the forefront of #AICopilots implementation, witnessing how they help businesses turn untapped legacy data, like old transaction records, into valuable insights. It’s about making the most of what you already have to build a smarter, more agile future! 🚀 #AICopilots #GenerativeAI #BigData #EnterpriseAI #LegacySystems #DataStrategy #MultimodalRAG #BusinessGrowth #LLM #Graphit #InnovateRedefineTransform

We’re thrilled to share that Graphit has joined forces with Toloka.vc as a Venture Partner! Toloka.vc is a prominent venture syndicate that invests in rapidly scaling startups and innovative companies with at least $1M in ARR. Together, we share a commitment to fostering innovation and disruptive ideas, encouraging the development of bold solutions that challenge the status quo and drive transformative change across industries. At Graphit, we’re expanding our support for companies and creative entrepreneurs in the AI & Big Data space, now offering not just implementation expertise but also potential financial backing to help creative entrepreneurs scale their ideas. This partnership allows us to empower businesses with both strategic guidance and capital, helping to drive the next wave of high-growth leaders. We're excited about what this collaboration will achieve and can’t wait to accelerate more growth and innovation together! Stay tuned for updates as we embark on this exciting journey! #partnership #innovation #venturecapital #growth #startups #AI #BigData #Graphit #TolokaVC

I've recently stumbled upon an interesting Q&A session between Stanford University Department of Management Science & Engineering students and former Google CEO Eric Schmidt discussing 'The Future of AI' in the context of technological progress and its wider business implications. The video of the session has been since removed (apparently opinions also have to be 'under review' these days 🤔). Nevertheless, I was able to watch most of it and some of the points made by Eric resonated a lot with what we see happening within the AI space. Hence, I wanted to share my key takeaways from his guest lecture: 1. AI co-pilots and text-to-action agents will have an unprecedented impact on the world of business and technology in the next year and beyond. 2. Due to unmatched financial capital required to launch and expand large scale models, open-source vs closed-source innovation debate is taking a new shape, which might shift the nature of competition between companies. 3. Giant corporations are slow in leading the progress, which is why agility, hard work and entrepreneurial drive foster iterations and enable startup founders to lead the innovation curve. 4. OpenAI and Microsoft partnership proved that if large corporates want to keep leading innovation and pushing its boundaries, outsourcing this specialist expertise to smaller teams outside accelerates this change process and fosters technological advances. At Graphit we support the iterations and agility ethos shared by Eric Schmidt, and are certain that implementation of AI solutions and adoption of agents is in its nascent phase, with vast untapped potential awaiting to be unlocked as industries begin to fully explore and integrate such capabilities. With our niche specialist expertise in custom agents development we are eager to be at the forefront of their emergence and diffusion across industries and geographies.

We are very happy to announce our partnership with leading student-led consultancy to bring brightest LSE students to the world of AI & Data :)

The concept of Explainable AI (XAI) is becoming increasingly important as AI technologies play a more integral role in critical decision-making . XAI aims to make the operations of AI systems more transparent, enabling users to understand and trust the logic behind AI-generated outcomes. This transparency is particularly crucial in high-stakes fields such as healthcare, finance, and legal services, where decisions can have profound implications. Y Combinator, known for pioneering technologies, has identified Explainable AI as a key area of focus. This highlights the growing acknowledgment within the tech community of the importance of developing AI systems that are not just powerful but also understandable and accountable. As automation expands, the ability to merge human expertise with AI's analytical capabilities offers a distinct competitive edge allowing more nuanced and impactful decisions, while ensuring that human judgment remains priority. Utilising key strength of technology and of human judgement at the same time. To discover more about how Explainable AI is shaping the future of technology and decision-making, feel free to get in touch. #ExplainableAI #DataDrivenDecisionMaking #genai #genaitrends