06Jun

One of the leading trends in IT that not even many technologists know much about is “affective computing.” It’s adding EQ to AI’s IQ,

The idea of computers that can engage and effect human emotions is as old as the first sci fi robots. A more modern example are video games that immerse players in environments designed to trigger a variety of emotions.

Today’s affective computing seeks to recognize human emotion and respond to it, not simply to evoke it. At MIT’s Media Lab, the mission of the affective computing group is to “bridge the gap between human emotions and computational technology.” The goal is to develop “new software tools to help people gather, communicate, and express emotional information and to better manage and understand the ways emotion impacts health, social interaction, learning, memory, and behavior.”

These are no mere high-minded aspirational hopes. Tools like these already exist, and not just in the lab. Many models of cars come equipped with sensors that detect drowsiness, warning the driver and urging them to take a break. At New York’s Fashion Week in September “Experience Management” technology analyzed attendees to customize drinks and fragrances just for them. McDonald’s is using technology to tailor drive-thru menu features based on weather, trending items and what the current restaurant traffic is like.

Deloitte report says uses like these are just the beginning: “Using data and human-centered design (HCD) techniques — and technologies currently being used in neurological research to better understand human needs — affective systems will be able to recognize a system user’s emotional state and the context behind it, and then respond appropriately.”

Human experience platforms employ a range of AI technologies like sentiment analysis, eye tracking, facial recognition and natural language processing to recognize and understand human emotion and, most significantly, respond to it in a natural, human-like way.

Deloitte gives us a practical example of how this could work:

“Imagine if you could walk into [a clothing retailer] and a bot appearing on the screen recognizes you and addresses you by name. This bot has been observing you walk around the store and has identified jackets you might love based on your mood today and your purchasing history. In this moment, technology engages you as an individual, and as a result, you experience this store in a very different, more human way. AI and affective technologies have scaled an experience with very human-like qualities to encompass an entire business environment.”

Each of these capabilities exists now in some form. Assembling them into an experience platform isn’t far off. Deloitte found that companies focusing on the human experience are already twice as likely to outperform their peers. They grow revenue 17 times faster than competitors that do not focus the human experience.

“The ability to leverage emotionally intelligent platforms to recognize and use emotional data at scale,” Deloitte predicts, “Will be one of the biggest, most important opportunities for companies going forward.”

Image: Deloitte Insights

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Anthropic Unveils Claude 3: Redefining AI Chatbots with Enhanced Capabilities

Anthropic, the AI startup backed by Google and with substantial venture capital, has just introduced the latest iteration of its GenAI technology: Claude 3. This announcement marks a significant advancement in AI capabilities, positioning Claude 3 as a formidable competitor even against OpenAI’s GPT-4.

Advanced Capabilities

According TechCrunch, “Claude 3, as Anthropic’s new GenAI is called, is a family of models — Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus, Opus being the most powerful. All show “increased capabilities” in analysis and forecasting, Anthropic claims, as well as enhanced performance on specific benchmarks versus models like ChatGPT and GPT-4 (but not GPT-4 Turbo) and Google’s Gemini 1.0 Ultra (but not Gemini 1.5 Pro).”

Multimodal Functionality

One notable feature of Claude 3 is its multimodal functionality, enabling it to analyze both text and images. This capability, like some iterations of GPT-4 and Gemini, allows Claude 3 to process various visual data such as, “…photos, charts, graphs and technical diagrams, drawing from PDFs, slideshows and other document types.” TechCrunch went further to note, “In a step one better than some GenAI rivals, Claude 3 can analyze multiple images in a single request (up to a maximum of 20). This allows it to compare and contrast images, notes Anthropic.” However, Anthropic has imposed limits on image processing to address ethical concerns, “Anthropic has disabled the models from identifying people…”

Claude 3’s Limitations

While Claude 3 showcases remarkable advancements, it’s not without limitations. TechCrunch reported that, “…the company admits that Claude 3 is prone to making mistakes with “low-quality” images (under 200 pixels) and struggles with tasks involving spatial reasoning (e.g. reading an analog clock face) and object counting (Claude 3 can’t give exact counts of objects in images).” Anthropic promises frequent updates to Claude 3, aiming to enhance its capabilities and address existing limitations. These updates will include improvements in following multi-step instructions, structured output generation, and multilingual support, making Claude 3 more responsive and adaptable to user needs.

As Anthropic continues to innovate and expand their offerings, the company remains dedicated to fostering a transparent and responsible approach to AI development. With substantial backing and a clear roadmap for future enhancements, Anthropic is poised to share the future of AI-driven solutions and pave the way for transformative advancements in various domains.

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Businesses Are Seeing The Value of Blockchain Sample

Now organizations in sectors well beyond the pioneers in finance are investing in blockchain to protect data, decentralize processes and facilitate asset and data transfer.

“It’s an appealing model for many sectors, promising transparency and trust as it helps make value exchange possible,” says a SmartBrief article. Although focusing mostly on the financial sector, which is where blockchain found its earliest uses, the article mentions the steady creep of the technology into other industries and even slowly becoming commoditized as “blockchain as a service.”

“Amazon and Microsoft both currently offer BaaS, and enterprises as well as startups are taking advantage of it,” says SmartBrief. Citing a Gartner survey of CIOs, the article notes that “60% expected their firms to start or continue adopting blockchain-based technology between now and 2023.”

Earlier this year, Deloitte issued a blockchain trends report. Besides describing the evolving technology and the features each different approach offers, Deloitte found that some of the fastest growth in blockchain investments was coming in such unexpected industries as professional services – a sector that includes the staffing and employment industry – and energy and resources. In each of those 38% and 43% respectively of the firms surveyed were spending at least $5 million each on blockchain initiatives.

Not unexpectedly, the largest percentage of businesses investing in blockchain were in technology, media and telecom.

“More organizations in more sectors — such as technology, media, telecommunications, life sciences, health care, and government — are expanding and diversifying their blockchain initiatives,” Deloitte observes.

Like the financial sector, life sciences and health care deal with highly sensitive medical data they must protect or face legal consequences. Those two sectors are where blockchain “can have a more immediate and meaningful impact,” says Deloitte. They are in an industry, the report explains, “In which data transparency, speed of access, immutability, traceability, and trustworthiness can provide the information necessary for life-altering decisions.”

Interestingly, Gartner assigns a similar importance – not life or death, but still vital – to blockchain’s value to media.

“Organizations and governments are now turning to technology to help counter fake news, for example, by using blockchain technology to authenticate news photographs and video, as the technology creates an immutable and shared record of content that ideally is viewable to consumers,” Gartner said.

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