AI Tools to Help Online Sellers on Amazon, Shopify, and eBay

☕️ Greetings! It's Tuesday, October 17th. Welcome back to my daily dive into the AI landscape.

♨️ E-commerce giants like Amazon, Shopify, and eBay are integrating generative AI tools to aid third-party sellers in crafting persuasive product listings. By analyzing images, these AI applications generate marketing copy, easing the burden on sellers who may lack writing skills. The AI extends beyond listings to analyzing customer feedback and creating advertising content. With these tools, mundane tasks are streamlined, boosting sales with less effort from sellers. The advent of such AI tools signifies the e-commerce sector's early yet promising strides toward harnessing AI for more efficient online retail operations.

Reference: CNBC (On Amazon, eBay, and Shopify, AI is the new third-party seller)

🗞️ Today’s Highlights:

• LATEST NEWS & TRENDS — From Silicon Valley to Toronto: Why AI Investments Are Heating Up

• INDUSTRY | FUNCTION — Harnessing the power of gen AI to reimagine healthcare

• RESOURCES — Open X-Embodiment: Robotic Learning Datasets and RT-X Models

• WORK — Disney’s Loki faces backlash over reported use of generative AI

• AI TOOLS — Avianio: Connect your data sources and chat with data from over 20 platforms, then share custom data chatbots with your team and clients.

• CHARTS — How To Develop a Generative AI (ChatGPT) Policy + Free Template

🗞️ LATEST NEWS & TRENDS

1️⃣ While Silicon Valley continues to be the epicenter of tech innovation, the underappreciated Canadian tech scene is rising, with Shopify leading the charge. Despite a stock plummet in 2022, its venture into generative AI positions it well for the future. Another promising firm, Open Text, is integrating AI into its enterprise software, showcasing Canada's potential in the AI domain. Analysts caution patience with investments, reflecting a broader caution in high-growth tech stocks, yet the long-term AI-driven potential of these Canadian firms remains compelling.

Reference: (From Silicon Valley to Toronto: Why AI Investments Are Heating Up)

2️⃣ HubSpot, at its INBOUND 2023 event, showcased novel AI tools to bolster marketing, sales, and analytics tasks for its users. The move, driven by a marked shift in consumer and market behavior, aims to foster deeper customer engagement. These tools, including AI Assistants, AI Agents, AI Insights, and ChatSpot, are engineered to streamline content creation, customer service, data analytics, and interactive campaigns respectively. They underscore HubSpot's intentionality in providing meaningful, efficient AI solutions rather than hastily chasing market trends. Access to these tools requires HubSpot membership, emphasizing a blend of AI and personal touch for genuine customer connections.

Reference: (HubSpot ups its game with four new generative AI tools)

3️⃣ Reflecting on the discourse surrounding generative AI's impact on scholarly communication, Danny Kingsley likens AI to a dark mirror, highlighting enduring flaws in research publishing and assessment, akin to the role of open access two decades prior. ChatGPT, often criticized for possibly undermining trusted scholarly publishing systems, rather exposes existing issues within them. Issues like predatory journals, gift authorship, and lack of reproducibility persist, exacerbated by AI's scale. Despite concerns, generative AI could address inequities, aiding non-native English authors. However, the overarching problem remains, the undue emphasis on publishing as the primary metric for assessing research merit, which needs a broader re-evaluation beyond just the AI debate.

Reference: (Generative AI – the latest scapegoat for research assessment)

4️⃣ The IBM study unveils rising concerns among CISOs regarding generative AI's cybersecurity threats, foreseeing an array of new cyberattacks within the coming year. This technology may enhance the efficiency and scale of malicious activities, particularly autonomous large-scale attacks and AI-facilitated impersonations. Surveying 200 US executives, 47% fear generative AI adoption might expose new security vulnerabilities, inducing a 51% boost in related cybersecurity budgets over two years. Chris McCurdy of IBM parallels the situation to cloud computing's initial phase, emphasizing an unprecedented focus on AI security, urging for early-stage security discussions to counteract potential cyber threats, and underlining generative AI's transformative potential if aptly governed.

Reference: (Generative AI is scaring CISOs – but adoption isn’t slowing down)

5️⃣ Google, with over twenty years in machine learning and AI, has been integrating these technologies to enhance products and address societal challenges like healthcare and climate change. Recently, they've delved into generative AI, emphasizing responsible implementation by anticipating safety and security risks. Measures include unfair bias mitigation, red-teaming for vulnerability assessment, clear policies against misuse, and special protections for teen users. They're also providing contextual tools to help users evaluate AI-generated information and are keen on collaborative efforts with various stakeholders to navigate the complex landscape of AI, ensuring a collective approach towards harnessing its potential responsibly.

Reference: (Our responsible approach to building guardrails for generative AI)

🗞️ INDUSTRY | FUNCTION

Generative AI, adept at creating content from existing data, is emerging as a revolutionary tool in healthcare, aiding in efficient operations and improved patient outcomes. This technology, predicted to burgeon into a $17.2 billion market by 2032, facilitates informed, rapid decision-making for clinicians, alleviates administrative burdens and fosters better communication among stakeholders - providers, payers, and patients. By enhancing transparency in payer-patient interactions and personalizing care, generative AI is not merely an auxiliary tool but is set to significantly transform healthcare dynamics, according to industry experts from Cognizant.

Reference: (Harnessing the power of gen AI to reimagine healthcare)

🗞️ RESOURCES

📚The Open X-Embodiment initiative gathers diverse robotic learning datasets and introduces RT-X models aimed at creating adaptable robotic policies for various applications. By consolidating data from 22 robots across 21 institutions, they assembled a rich dataset showcasing 527 unique skills. Two models, RT-1 and RT-2, were trained; the latter demonstrating significant improvements in spatial understanding and task execution, hinting at the potential of generalist X-robot policies. The project takes a step toward efficient robotic learning, hinting at a future where robots can swiftly adapt to new tasks and environments.

Reference: (Open X-Embodiment: Robotic Learning Datasets and RT-X Models)

📚In recent times, Transformers have risen as potent tools in learning visual representations. This paper unveils and examines artifacts found in the feature maps of supervised and self-supervised Vision Transformer (ViT) networks. These artifacts, manifesting mainly in the less informative background regions of images during inference, are seen as high-norm tokens repurposed for internal calculations. A simplistic yet impactful remedy of introducing extra tokens to the Vision Transformer's input sequence is suggested. This tweak not only rectifies the issue across both supervised and self-supervised models, but also pioneers a new pinnacle of excellence for self-supervised visual models in dense visual prediction chores. It paves the way for enhanced object discovery with larger models and, significantly, results in more refined feature and attention maps for subsequent visual processing tasks.

Reference: (Vision Transformers Need Registers)

🗞️ WORK

The promotional poster for Disney Plus' Loki season 2 has ignited a debate among designers due to suspicions of generative AI usage in its creation, spotlighted by illustrator Katria Raden. Concerns are brewing in the creative sphere about AI tools utilizing their work without permission, potentially diminishing human artists' roles. The poster's spiraling clock image, seemingly AI-generated, resembles a stock image on Shutterstock, raising questions about AI-generated content's ethics and commercial viability. This incident highlights the emerging tension between AI advancements and preserving the integrity and livelihood of the creative community amidst a growing influx of AI-powered design tools.

Reference: (Disney’s Loki faces backlash over reported use of generative AI)

🗞️ AI TOOLS

🧰 Avianio: Connect your data sources and chat with data from over 20 platforms, then share custom data chatbots with your team and clients.

🧰 Superdash: Build a LLM powered Workflows.

🧰 UseAdmin AI: Save hours. AI assistant for call notes, Follow-ups, and Opp updates.

🧰 CSM AI: Generate 3D Worlds From Images & Videos.

🧰 Colorway: Coloring book generator with AI

Disclaimer: 1) The tool descriptions are from the company behind each tool/app. 2) Please read the site details thoroughly before using and/or acquiring any of the tools listed above. We have not tested these tools and we will not be liable for anything.

🗞️ CHARTS

 👀 The article outlines the necessity of establishing a generative AI policy in organizations amidst the rising adoption of AI platforms like ChatGPT. It discusses potential misuses, ethical dilemmas, and legal ramifications, emphasizing transparent guidelines to ensure responsible AI usage. Examples of corporate AI policies from Samsung, Expedia, and Salesforce are shared to underline real-world applications and concerns. The piece also provides a step-by-step guide on crafting an effective generative AI policy, touching on stakeholder engagement, legal compliance, employee training, and continuous policy updates to align with evolving AI landscapes.

Reference/Credit: AIHR (How To Develop a Generative AI (ChatGPT) Policy + Free Template)

Disclaimer: The audio-visual content is courtesy of the source provided above.

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_{I'm not a newsletter expert so you might find my approach a tad different. In my daily dives into the world of AI, I handpick the latest gems, initially to support the AI projects that I’m working on. Realizing that these snippets might resonate with others, I thought, "Why not share this with my community and fellow AI enthusiasts?" I truly want this newsletter to be valuable to you so if there's anything on your mind—praises, critiques, or just a hello—please drop me a note. You can hit reply or shoot me a message directly at my email address: [email protected].}