"The purpose of a business is to create and keep a customer." This Peter Drucker quote captures the essence of why ???????????????? ?????????????????????? matters. Without customers who find value in what you offer, your business cannot survive—much less thrive. In this essay, Bill Tarbell details the customer development process, and how teams can use Convictional to leverage AI do it well. Connecting the important context learned from customer conversations to decisions about what to build next is made easy when using Convictional. https://lnkd.in/eyV7R5BS
关于我们
Convictional is the infrastructure that powers decisions at the world's most ambitious companies.
- 网站
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https://convictional.com
Convictional的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Dover，Delaware
- 类型
- 私人持股
- 创立
- 2017
地点
Convictional员工
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Abbas Haider Ali
SVP @ GitHub ($2B+ ARR) leading post-sales incl. Customer Success, Professional Services, Support, Renewals, Strategy, and CS Engineering orgs |…
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Bill Tarbell
Building AI-powered software to help people make better business decisions.
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Danny Meyers
Finance at Convictional
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Alex Meyer
Chief Operating Officer at Bold
动态
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Convictional is helping companies evolve how they operate, make decisions, leverage knowledge and create value for their customers with AI.
AI is going to transform how businesses operate, make decisions, leverage knowledge and create value. This evolution will go through distinct levels, defined by AI's scope of impact, the executive team's stance on AI, and the organization and role of employees in the company: From individual employees using AI for personal productivity (Level 1)... To departments automating function-specific workflows (Level 2)... To cross-functional AI integration sharing knowledge (Level 3)... To enterprise-wide context and strategic decision making (Level 4)... And in the future, organizations become ?????????????????? ?????????????? (Level 5)... where AI handles all cognitive work except for human judgment, connection and creativity. We just published Convictional's Organizational AI Maturity Model and will be helping our customers navigate these changes --> https://lnkd.in/eE7TeJGK
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Convictional转发了
In 2005, amateur chess players with AI beat both grandmasters AND solo AI systems. Their secret? They knew when to trust the machine and when to override it. There's a powerful lesson here for business leaders navigating AI... as Jake Beresford writes in our latest essay. https://lnkd.in/eb4ghamG
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In 2005, amateur chess players with AI beat both grandmasters AND solo AI systems. Their secret? They knew when to trust the machine and when to override it. There's a powerful lesson here for business leaders navigating AI... as Jake Beresford writes in our latest essay. https://lnkd.in/eb4ghamG
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Decision making shouldn't be the focus at company leadership offsites. Bill Tarbell writes about how to approach leadership offsite meetings effectively in the age of decision science and AI. https://lnkd.in/eC9sYmDh
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Convictional is reinventing business operations. Your business runs on decisions. Today, we're transforming how teams capture and make them. Our first commercial release turns your company's goals and knowledge into action: - Make all company knowledge searchable, including docs, data and conversations. - Capture every team meeting and extract decisions and tasks. - Infuse company goals into your team's daily decision making. - Enhance decisions across the company with power AI tools. See how our product transforms how teams understand their business and empowers every employee to make decisions that align with company goals. ?????? ???????????? ???????? ?????????????? ???? ?????????????????? ??????????: https://lnkd.in/enzisFt9
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Today, our original business, Modern Dropship, was acquired by Carro - Collaborative Commerce. The product and its users are in great hands with the Carro team. You can read more about the announcement here: https://lnkd.in/e8wM-rGC We at Convictional are excited to focus on our new mission and product: reinventing business operations in the age of AI. More to come next week!
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Much of the AI research work we do at Convictional contributes to product features. And some learning we leverage as internal tools. Matthew H. Chequers, Ph.D. on our AI Data Engineering team wrote an essay on his project that reclaimed much engineering time by automating documentation with AI: https://lnkd.in/gENWzgt3
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RAG (Retrieval-Augmented Generation) is an AI approach that combines your company's internal knowledge with AI language models, and many companies are starting to experiment with implementing RAG. What's the right level of complexity for business RAG systems? This question has driven Adam McCabe and team's research at Convictional throughout 2024, as he writes in the following essay, "Context Entropy". https://lnkd.in/eC9X6cz7
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Our head of research Adam McCabe talks about how Convictional brings business context into our AI-enabled product in this essay.
What's the right level of complexity for business RAG systems? This question has driven our research at Convictional throughout 2024. We've explored everything from knowledge graphs and entity stores to semantic chunking and HyDE. But instead of just theorizing, we put it to the test using Claude 3.5 Sonnet to analyze how business knowledge is actually distributed across our documents. The surprising result? For 95% of topics users ask about, the relevant information exists in a single document. Complex knowledge modeling isn't always necessary - it's only critical for that final 5% of high-entropy topics where information is widely distributed. This challenges the growing industry consensus that sophisticated knowledge modeling is always needed. Sometimes, simpler approaches are not just adequate - they're optimal. Read our full analysis here: https://lnkd.in/gTU8A5iX