Sama

“Retail is actually one of the fastest adopting industries out there [of] AI.” — Mika Yamamoto “Whether it’s generative AI for creative or content or whatever, it’s not going to replace humans. It’s going to augment our workflows.” — Lisa Avvocato AI is changing retail in ways we never imagined; from AI-powered copilots that assist employees to smarter personalization tools that enhance the shopping experience. But what happens when companies get it wrong? And how can businesses avoid investing in AI solutions that don’t deliver real value? In this episode, Lisa Avvocato, VP of Marketing at Sama, and Mika Yamamoto, Chief Customer and Marketing Officer at Freshworks, break down the wins, the missteps, and what’s next for AI in retail. Join the conversation and explore how AI is shaping the future of retail. https://lnkd.in/gkTWwunw

Wendy Gonzalez, our CEO, will be speaking at #HumanX (March 10-12), sharing her take on some of the biggest challenges and opportunities in AI today. She’ll be joined by Danielle (Hamlyn) Perkins, our Senior Enterprise AE, as we connect with industry leaders and discuss what’s ahead for AI. If you’re attending, let’s connect! #HumanX #AI #ResponsibleAI #Sama

By 2028, 33% of enterprise software applications will incorporate agentic AI, up from less than 1% in 2024, according to Gartner. Agentic AI is shifting how businesses operate; moving from simple automation to AI agents that perceive, decide, and act across multiple data types, from text and images to applications, audio, and video. This shift is driving adoption across industries: ? Finance – Detecting fraud in real-time across diverse data sources ? Customer Service – Enhancing interactions with human-like responsiveness ? Manufacturing – Optimizing resource allocation and production workflows ? Healthcare – Transforming diagnostics and personalized patient care But as this technology scales, data accuracy remains the biggest challenge. AI agents need structured, high-quality data to interpret and act reliably; otherwise, businesses risk inefficiencies and poor decision-making. That’s why we have created Agentic Capture, a framework designed to systematically capture and validate multi-modal data, ensuring AI agents align with real-world expectations. With the agentic AI market projected to reach $196.6 billion by 2034, now is the time for enterprises to build the right data foundations. https://lnkd.in/d4gRhFpx

The investment in AI agent development is surging; over $2 billion has been poured into startups in this space in just two years. AI agents have evolved from rigid, rule-based systems to intelligent, adaptable assistants capable of understanding context, handling complex tasks, and processing multiple types of data. Tech giants like Google, Microsoft, and IBM are prioritizing AI agent innovation, and we’re actively contributing to this evolution. Our focus? Ensuring these technologies are effectively trained, accessible, and aligned with ethical standards; driving impact for businesses and communities alike. #AIAgents #MultimodalAI

The agentic AI market is expected to grow from $5.1 billion to $47.1 billion by 2030. To support this growth, we have launched Agentic Capture—a feedback framework that helps AI process and learn from text, images, audio, and video more effectively. This improves accuracy and adaptability across different industries. Duncan Curtis , SVP of Product, shared that we’re excited to work with partners to build a strong framework that meets the changing needs of agentic AI. Read more: https://lnkd.in/efXr-gPR #AI #ArtificialIntelligence #AgenticAI

Trade and AI have been a conversation for a while, but it’s clear now that AI is reshaping industries like retail in real time. AI is streamlining everything from inventory management to creating personalized shopping experiences. Retailers are using AI to better predict demand, reduce waste, and make their logistics more efficient; ultimately making trade smoother. The WTO’s Trading with Intelligence report pointed out how AI is both transforming trade and becoming a tradeable asset itself. At Sama, we focus on providing high-quality, unbiased data that helps AI make better decisions, and in turn, drive positive changes for businesses. When AI is trained the right way, it can bring real value especially in retail, where it’s already helping businesses improve efficiency and customer experiences.

Ever wondered what Sama really does? Here are some things you should know about us: 1.Sama is a BPO Company We focus on data services for AI. We help companies by providing high-quality, human-labeled data to train and improve their machine learning models. 2.Sama’s Founder was Leila Janah "The future of work is about dignity and empowerment. It’s about giving people the tools to change their lives and be part of the global economy." – Leila Janah. Her vision still drives everything we do at Sama. 3.Sama Focuses on Ethical AI AI should be built the right way; fair, accurate, and transparent. That’s why we make sure the data we provide is bias-free and responsibly sourced. 4.We Provide High-Quality Data for AI Smart AI starts with great data. We deliver accurate, human-reviewed data that helps companies create AI that actually works. 5.Human-in-the-Loop (HITL) Approach AI isn’t perfect on its own; that’s why we bring in human expertise to check and refine data, making sure it’s as accurate and ethical as possible.

“The companies that will thrive in this AI transformation are the ones that can figure out how to marry parts of their current culture with what AI delivers.” – Nitzan Mekel-Bobrov, Ph.D. AI is revolutionizing retail, but success isn’t just about adopting new tech; it’s about integrating it thoughtfully. In our latest episode, eBay’s Chief AI Officer shares how AI is reshaping e-commerce, from personalized shopping experiences to tailored AI tools for sellers. Key insights from the conversation: ?? How AI is unlocking new levels of personalization in online marketplaces ?? The role of experimentation in AI development—failure is only a lesson if nothing is learned ?? Why eBay focuses on keeping sellers’ uniqueness intact rather than using generic AI-generated content https://lnkd.in/dPwaM9tW

"More data does not always lead to good quality models—unless it is for the same use case." – Dr. Satyajit Wattamwar It’s easy to assume that bigger datasets always mean better AI models, but that’s not the case. Context matters.? Dr. Wattamwar also shares how Unilever is leveraging AI to drive sustainable innovation, from optimizing operations to creating responsible consumer products. Key takeaways include: ?? The minimum data needed to build effective models ?? How AI is making experimentation more accessible ?? The evolving role of AI in operational efficiency vs. innovation Tune in to hear his expert take on the future of AI: https://lnkd.in/dwXPHCjq What do you think—do companies focus too much on collecting data rather than using it effectively?

AI in retail isn’t just talk; it’s actually changing how businesses operate, sell, and connect with their customers—and that’s great news for retailers today. The shopping experience is getting smarter, faster, and more seamless. Here are a few ways of how its advanced: 1.Instant Product Listings – Platforms like Poshmark are using AI to turn images into product descriptions in seconds. 2.Smarter Store Operations – AI-powered cameras, electronic shelf labels, and automation are helping retailers cut costs and boost efficiency. 3.AI for Everyone – Advanced AI tools for personalized marketing, demand forecasting, and logistics are now more accessible, giving smaller retailers a competitive edge. AI is transforming the retail world. How do you see it changing the future of shopping? #AI #RetailTech #FutureOfShopping #Automation #MachineLearning