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We are going to announce a BIG Mental Health awareness event powered by Terzo It's time for leaders to step up and share. It's time to help our people and our communities.

Herding kids for a pony party? AI can lasso everything together. Speaking at our Spark by Go Studio Demo Day earlier this year, Eric Pritchett, President of Terzo Technologies, believes that Enterprise AI will help businesses solve critical data issues – like organizing schedules for events. For more creative thinking, check out previous Spark by Go Studio events at: https://lnkd.in/eDQT6RAj #innovation #ai #artificialintelligence #events

GREAT AI + BAD DATA = BAD BUSINESS RESULTS Thomas redman reminds us in HBR Analytics And Data Science that good data are actually more important that good data science and AI. Why? Simple. AI is prone to "garbage in, garbage out" just like other algorithms. In fact, AI may be more capable of business harm than prior algorithms precisely because it will be better at making your business operators think they are consuming valid data and analysis... Warnings about data quality have been plentiful, coming from sources as diverse as those leading the AI revolution, including Google, Meta, OpenAI, IBM; prominent researchers; and the popular press including the New York Times, and the Economist. Forrester, the research firm, advises that “Data Quality Is Now the Primary Factor Limiting Gen AI Adoption.” Yet most companies have not even started the work they need to do to build reliable data foundations. Data quality is an enormous organization-wide issue (and opportunity), yet most companies have neglected it. At Terzo we like to emphasize that "bad data is a leadership issue." Getting data right “Garbage in, garbage out” might be a useful rule of thumb, but I find it convenient to frame the idea of good data through two requirements: 1) whether it’s the “right data” to address the problem and 2) whether that “data is accurate." The criteria for the latter are more familiar to most people: accuracy, absence of duplicates, and so forth. Having the “right data” is less familiar, more subtle and complex — but it’s also essential. The RIGHT data: > Relevant and complete > Adequate representation > Timely > Clear definitions > Appropriate exclusions QUALITY data: > Accuracy > Absence of duplicate data > Consistent identifiers > Correct labeling Many leaders will at first be surprised at the investment required to build transformational data foundations. In point of fact, data foundations have huge ROI because investments in good data have positive returns to scale. Why? Once you have great data, you can use it over-and-over again. The leaders of our shared AI-enabled future will adopt this tone: “Oh my goodness, data foundations will enable real AI-driven transformation for our operators. This will really move the needle on our financial and operating performance for years to come.” #genai #ai #innovation #cfo #ceo #cio #bigdata #datafoundations

AI & IP Uncomfortable Bedfellows GenAI, which uses public data sources, corporate data lakes, and question snippets to recover patterns and relationships, is becoming more prevalent in business. #finance #supplychain #procurement #cro Legal implications of using generative AI are still unclear, particularly in relation to copyright infringement, ownership of AI-generated works, and unlicensed content in training data. Courts are currently trying to establish how intellectual property laws should be applied to generative AI, and several cases have already been filed. To protect themselves from these risks, companies must ensure that generative AI are in compliance with the law. >> Legal Matters According to HBR authors Gil Appel, Juliana Neelbauer, and David A. Schweidel, the legal system is being asked to clarify the bounds of what is a “derivative work” under intellectual property laws — courts must determine the interpretation of the fair use doctrine, which allows copyrighted work to be used without the owner’s permission “for purposes such as criticism (including satire), comment, news reporting, teaching (including multiple copies for classroom use), scholarship, or research,” and for a transformative use of the copyrighted material in a manner for which it was not intended. This isn’t the first time technology and copyright law have crashed into each other. Google successfully defended itself against a lawsuit by arguing that transformative use allowed for the scraping of text from books to create its search engine, and for the time being, this decision remains precedential. At Terzo we work with leading companies to scope and implement #enterpriseai projects with a focus on document intelligence for the #cfo. We use #genai and other valuable #ai techniques, so that businesses can leverage ai to improve their financial performance. Through this experience we've passed multiple #infosec and #dataprivacy reviews, as well as navigating concerns over ai and #ip. Try this framework to navigate your Enterprise AI legal risk journey: 1) Cover all the usual infosec bases (ai runs on #IT and interacts with #data, so get those bases covered first) 2) Discuss GenAI specifically. Key topics include: >>2.1) Does model interact with data outside the enterprise during production >>2.2) Can the company indemnify the customer for any future claims of IP infringement? >>2.3) Is it possible for the #llm to share data from the customer to some other customer or to any public domain? 3) Don't forget that most data privacy and infosec penetrations are because of poeple, not technology. So: >>3.1) Clarify how role-based access controls extend to LLM use and generated content >>3.2) Clarify if the company has proper training and documentation of its products and services It will take time for the legal dust to settle around AI and GenAI and IP. Until then, use the tips above to stay focused on harnessing the new tech and staying out of court.

Enterprise AI Doesn't Charge Interest Great reporting in the WSJ from Kristin Broughton regarding #wallstreet frustration with supersized #supplychainfinance programs, which weigh on company performance in a higher #interestrate business environment. Highlights: > Big companies including AT&T, Keurig Green Mountain, Inc. and Krispy Kreme are pulling back on a type of short-term financing that gives them more time to pay their invoices. These agreements with vendors, known as supply-chain or #vendor financing, are popular because they allow buyers to hold on to their #cash longer, and the short-term financing typically isn’t counted as debt on corporate balance sheets. But higher interest rates are changing the equation for some companies. > According to WSJ reporting, many companies relied on supply chain financing during the pandemic to boost liquidity as they weathered manufacturing and logistics disruptions, as well as zigzags in consumer demand. For most companies, supply chain finance programs work like this: A third party, typically a bank, pays a vendor before the scheduled due date. The bank takes a cut of the supplier payment, with the amount typically determined by a benchmark interest rate and the buyer’s creditworthiness. The buyer then pays the bank at a later date. As interest rates have increased, the discounts vendors take on their payments have increased as well. What Are the Implications of These Programs? > Supply chain financing came under scrutiny from investors and standard-setters in 2021. A key concern: Companies can use the programs as a backdoor way to raise financing because balances are usually recorded under a company’s accounts payable rather than as debt. The Financial Accounting Standards Board #FASB in 2022 adopted rules requiring companies to disclose information about their programs, including the size. What to Do? >> Supply chain finance is facing greater scrutiny and reporting requirements >> These programs increase complexity in agreements between #B2B supply chain participants, thereby increasing pressure on #obligationmanagement between supply chain partners #EnterpriseAI is well suited to discover, analyze, and improve the management of the supply chain, and supply chain finance. Contact Terzo if you are interested in how #ai and #genai can help your team manage complex supply chain agreements and supply chain finance reporting requirements. DM us today to learn more: Andy Zschach Spencer Ross Jake Flaherty brody elkins Kevin Character

AI for Revenue Acceleration? Hell yes. Great coverage in the WSJ by Isabelle Bousquette concerning the AI craze and the desire for companies to see gains in revenue from AI initiatives vs only focusing on costs and efficiencies. KEY POINTS: > A survey released today by professional-services firm KPMG US shows that #revenue generation has overtaken productivity as the primary gauge businesses use to measure AI’s #roi. KPMG surveyed 100 U.S.-based C-suite and business leaders representing organizations with an annual revenue of $1 billion or more. > Organizations are expected to spend $38.8 billion on generative AI in 2024, according to market research firm International Data Corp. If you are looking for an #enterpriseai solution capable of accelerating your same customer sales across your product and service portfolio, hit up Terzo and we'll show you how to turn up organic growth. Terzo.ai + your existing CRM data is all you need to get started. Contact Andy Zschach Spencer Ross Jake Flaherty or brody elkins and get set to boost your organic growth through same customer sales in less than 180 days - no heavy lift, no systems integration, no consultants. #genai #ai #ml #innovation #revenue #cfo #cro #sales #crm

Meet the first 80+ sponsors of DPW Amsterdam 2024! #DPWAmsterdam has become the proving ground for breakthrough tech and global innovators in procurement and supply chain connecting the global tech community with large industries. www.conference.dpw.ai #Go10X #MakeTechWork