Empowering Businesses with AI Strategy and Breakthroughs
Transform your business with Acme's AI strategy focusing on long-term vision and initial projects. Discover the benefits of AI breakthroughs, the 5 dimensions of Acme's AI program, and their approach of thinking big and starting small. Dive into the 8 initial capabilities that companies are investing in to optimize processes and enhance customer experiences.
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Presentation Transcript
Acme AI Strategy Long-term vision and initial project
Why now? AI can now reason. We can build software with smart, general-purpose components 10x faster and cheaper Automate processes only people can do Start small
AI breakthroughs can transform Acmes business 02 03 Process Documents Provide unique insight Automate our operations 01 Revise, search, classify, summarize, review > Which customers may cancel?
5 Dimensions of Acmes AI program 02 02 01 02 03 04 05 Capabilities Infrastructure Talent Governance Tools Systems that solve many business problems Computing services to securely process data and support solutions at scale. Human capital to execute and maintain a competitive position. Metrics and oversight to ensure business impact and reduce risks 3rd-party resources to accelerate our program Examples: search, unified natural language query, decision agents Examples: vector databases, data pipelines, monitoring solutions. Examples: data scientists, ML engineers, AI product managers Examples: investment steering committee, model policies, performance metrics Examples: Data science development, chat interfaces, decision dashboards We will mature along these five dimensions
Acmes approach: think big, start small Think big Mature along 5 dimensions Prioritize organizational learning Align to Acme s supply chain optimization initiative Start small Initial pilot project No major infrastructure or tool investments Clear, proven use case based on other companies
Companies are investing in 8 initial Capabilities Capability Explanation Example Identifying customer upsell opportunities from support or sales conversations. Text classification Assigning categories to documents or document sections. Pulling out names, places, or specific sections from documents. Populating a knowledge graph with a 360-degree customer view. Information extraction Finding information based on its meaning instead of keywords. Connecting company policy documents to specific laws or rules. Semantic search Information summarization Condense extensive documents into concise and essential highlights. Summarizing an application with highlights to expedite review. Information comparison Identifying similar documents or sections of documents. Clustering case files in law enforcement. Creating precisely written content consistent with style and needs. Often includes a review step. Drafting and reviewing legal correspondence and contracts. Document generation Unified natural language query Empowering anyone to get answers to questions about data and documents without SQL or tools. Generating customer upsell opportunities across CRMs and support conversations. Automating analysis of information from various sources, reasoning across them, and making decisions. Automating technician dispatch and monitoring in rapidly-evolving operational situations. Routine task automation
First project: Automated contract review Develop document generation and information extraction capability. Find contract issues and generate suggestions for our lawyers. Approve Documents Find the right section Generate new language, extract names. Review/finalize
Begin maturing along five dimensions AI maturity dimensions Capabilities Infrastructure Talent Governance Tools Automated contract review Document generation, information extraction Workflow to ingest and process documents, LLM API interfaces Learn how to leverage LLMs, document processing workflow Metrics and oversight to ensure business impact and reduce risks 3rd-party resources to accelerate our program
First project: AI-driven business intelligence Develop Unified natural-language query capability. > Which Acme customers may cancel? > What is our revenue projection for May? Identify data sources (CRM tables, documents, etc) and develop an interface that allows non-technical users to get insight by asking simple questions Large language models
Begin maturing along five dimensions AI maturity dimensions Capabilities Infrastructure Talent Governance Tools AI-driven business intelligence Primarily Unified natural language query. Interfaces to LLM APIs (GPT-4, others) and our data sources. Learn how to leverage LLMs in business processes. Baseline metrics on efficiency gains, identify policy gaps. Data science development environment, customized natural language chat interfaces Also Information extraction, Information summarization, and Text classification depending on selected data sources. Libraries to improve LLM performance (prevent hallucinations, improve results, provide insight) Example code base engineering team can extend. Experience for identifying and scoping future projects. User experience learning to interface with chat for data insights.
