Boltzbit

Static Systems Are Outdated for Customer-Centric Businesses Customer-centricity drives growth. Taking banking as an example: 80% of consumers would switch banks due to poor digital service. Static systems fall short, missing what customers truly need. AI SHOULD transform user journeys. But chatbots and automated systems have faced challenges, and inaccuracies will not be tolerated. Shifting from static systems to AI-driven experiences allows large customer-centric businesses to mirror human thought and interaction. Flexible, adaptive user journeys are essential to deliver the desired experience at every touchpoint. At Boltzbit, we provide AI solutions for seamless, personalised customer experiences from domain-specific models. Interested in learning more? Let us know.

Tech giants like Google, Meta, and OpenAI are running out of public data for AI training. As a result, deals are being made with Reddit and media partners to 'feed the need'. However, these sources can be inconsistent and biased, presenting a significant challenge for monitoring misinformation. For businesses, the broad scope of information used to train LLMs is not what they need. They require depth, not breadth. Given this, we believe a wave of companies will shift from using larger, generalised models to smaller, bespoke models trained on private data.This scarcity of new public data might actually be beneficial, as it pushes enterprises to refocus their business objectives... How can we help at Boltzbit? We specialise in creating customised AI models tailored to your specific business needs. By leveraging your private data, we ensure our models provide precise, secure, and highly relevant insights. This not only enhances your decision-making processes and overall productivity but also ensures you have complete trust and control over your AI tools. #boltzbit #privatedata #trustandcontrol

For many businesses, employees are using AI tools to boost productivity and efficiency—often without official approval. This practice can place companies in a difficult position: balancing the benefits of increased efficiency with the serious risks of data leakage, compliance violations, and potential client dissatisfaction. We have developed a solution that addresses these challenges, providing both security and productivity. Scroll to learn more about how our AI tool can help you maintain control and trust while enhancing your business operations. To try our AI tool for yourself, head to https://boltzbit.com/, or follow Boltzbit for more

Our team will be attending Fintech Fringe next week! We're looking forward to all the events and speakers, especially Funtech Comedy Night (Tuesday 11th June) supported by Rise, created by Barclays and Streets Consulting, to raise funds in aid of Street Child. If you are going to be there, let us know. Our team are always keen to grab a coffee and talk about Enterprise AI. #genai #fintechfringe #ltw #boltzbit

A study conducted from the Human-Centered AI Institute on Legal AI copilots including ones from LexisNexis, Thomson Reuters, and OpenAI's GPT-4, found that trust in AI models is still a blocker to operational implementation. 👉 AI copilots can reduce hallucination rates, GPT-4 had a hallucination rate of 43%, while the top-performing legal copilot had a rate of 33%. 👉 Senior lawyers appreciate the value of AI copilots in helping them brainstorm legal arguments and analyse large contract databases. 👉 Legal tech firms and academic institutions are developing benchmarking for legal copilots. This is where Boltzbit comes in. 👉 Private models with an accuracy rate of 99% in certain use cases. 👉 Unique architecture with custom benchmarking 👉 Human testing as a core product feature - easy verification of answers. If you're interested in exploring how Boltzbit can help overcome the challenges of implementing legal AI, follow this link: https://boltzbit.com/ Special thanks to Fortune and Jeremy Kahn for shedding light on this crucial topic: https://lnkd.in/e3eDWmJ4 #boltzbit #ai #fortune #humancenteredAI

The Financial Times recently shed light on the growing need for increased transparency in AI systems. Their article, "AI should not be a black box," raises some thought-provoking points: 📍 Early AI researchers used to share training data, facilitating collaboration and the identification of flaws. Today, tech companies have shifted their approach and now withhold insights into their training data, citing concerns over intellectual property infringement. (This shift has sparked controversy, particularly within the arts industries, where many individuals have attempted to sue, claiming that AI models have utilised their proprietary works without permission.) 📍 The lack of transparency in AI models is a growing concern. The design of a model determines how it interprets inputs and generates language. AI companies view their model's architecture as their unique advantage, keeping it undisclosed to maintain their competitive edge. This lack of transparency poses challenges in evaluating the outputs, limitations, and biases of AI models, making it hard to assess their reliability and fairness. 📍 According to a Stanford University index, even AI leaders like Google, Amazon, Meta, and OpenAI fall short in transparency needed for responsible AI development: https://lnkd.in/ea7KF28 At Boltzbit, we take a different approach: 🤝 Our users have their own models, trained on their private data. This ensures data privacy and control over the learning process.  🤝 Our user-friendly verification tool enables continuous improvement and ensures our models' accuracy.  🤝 We provide precise sourcing for AI-generated answers, offering word-by-word references rather than just links.   👉 To learn more about this topic, check out the link to the Financial Times article below: https://lnkd.in/dAmqZ4mY

PwC's 2024 AI Jobs Barometer explores AI's impact on jobs, wages, skills, and productivity across 15 countries, representing over 30% of global GDP. AI significantly boosts workflow productivity and necessitates upskilling. Ensuring transparent AI deployment and implementing robust control mechanisms are crucial for managing AI's impact on jobs and maintaining trustworthy outcomes in the workplace. Regular human-driven audits and clear accountability are essential for responsibly harnessing AI's benefits, enhancing the workforce without compromising ethics or job security. Key findings include: - 4.8x increase in labour productivity in AI-exposed sectors. - 25% higher rate of skills change in AI-affected occupations. - 3.5x faster job growth and up to a 25% wage premium for AI-skilled jobs. Read more here: https://lnkd.in/env2Zvmu

It was a pleasure to meet with Febraban and the Brazilian delegation! We thoroughly enjoyed our discussions about Boltzbit and the transformative impact of GenerativeAI. Wishing you a wonderful stay in London and looking forward to welcoming you back in the future Rodrigo Dantas Edson G Pereira Filho Fernando P. Bianca Vieira Douglas Vieira e Silva! Thank you to Sacha Brereton Edward Nicholson Niamh Gwatkin and FinTech Innovation Lab London / Accenture for organising!

Our second newsletter is out now! 🚀 Dive into our latest research covering Finance, Insurance, and Tech, and discover how AI is set to transform our work lives over the next 18 months. This edition shines a spotlight on Asset Management. A huge thank you to all the participants who shared their valuable insights with us. We hope you enjoy reading our findings and look forward to hearing your thoughts! #AI #Finance #Insurance #Tech #AssetManagement #Innovation

Accenture's 12th FinTech Innovation Lab London has been an incredible journey from start to finish! The invaluable mentorship, insightful workshops, and opportunities to showcase Boltzbit to financial institutions worldwide have fuelled immeasurable learning and growth for our business (and our team!). FinTech Innovation Lab London are delivering phenomenal value to the startup and FinTech communities, and we are profoundly grateful for their hard work and dedication. The relationships we've built and the insights we've gained are priceless, and we eagerly anticipate seeing what our fellow cohort members will achieve next. A heartfelt thank you to Sacha Brereton Niamh Gwatkin Edward Nicholson Ben Naylor and all the mentors for making this journey unforgettable. John O'Hara John Fitzgerald Nicole Fitzgerald Alonso Bustamante Carrie Osman Dan Zinkin Ian Ellis Julian Levy Kate B. Oliver Cooke Robert Mollen Simone Koo Ishikawa Tracy Takemura Kleinschmidt Check out the amazing 2024 cohort! PeerCo JavelinIQ Snugg 7Analytics Photocert Fluence World KYP Deriskly TitanML enclosed Kinherit - Intelligent Wills to protect your family Revenir OptAxe Abel