06Jun

At the start of every year, and often well into it, we’re bombarded with predictions about trends in every imaginable industry. Tech is no exception, and it may be the sector with the most experts issuing forecasts.

Recently, CBInsights published its own 12 Tech Trends To Watch Closely In 2021. What makes this list stand out is its almost sci-fi feel. This is no ordinary collection of trends.

Take quantum computing. Even if most of us have no idea what it is, we’ve heard enough to know that quantum computers are the coming thing and that their computing ability dwarfs anything we have today.

But CBInsights tells us that these computers have arrived. We hear about a Chinese quantum computer that last year solved an essentially unsolvable problem in a little over 3 minutes. The report reinforces the point that these computers are here now by noting that “equity deals to quantum computing startups set a new record of 37 rounds last year, an annual increase of 42%.”

The trend the report identifies is not about when these computers will be available on Amazon. Instead, it’s that “businesses will be forced to secure data faster than these computers can decrypt it.”

“The industry’s rising momentum is creating an arms race to secure data faster than quantum computers can decrypt it,” says the report, informing us that companies like IBM and Microsoft are already developing new encryption methods to address the coming problem.

That trend dovetails with the first of CBInsights’ dozen: the Chief Prepper Officer. “Companies shaken by the pandemic,” predicts the report, “Will start prioritizing resilience and turn to emerging tech as they look to onshore operations, build robust supply chains, and ready themselves for the next big crisis.”

Whether a company actually creates a Chief Prepper role, they are already investing in diversification of supply chains, sales and distribution alternatives and buying or developing AI forecasting tools.

As futuristic as these two trends seem at first glance, they fall back into the realm of good business practices with the CBInsights’ discussion.

One trend that still seems to have a foot in science fiction is the prediction about “affective computing.” The report predicts, “Businesses will prioritize building AI technologies that can interpret and respond to human emotions as they look to connect with consumers.”

The report tells us there already are startups that “use emotion AI to analyze elements of speech, like tone and vocal emphasis, to best match service agents and customers across industries.”

We read about how Amazon is using voice analysis in its wellness tracker to identify the emotions users may be feeling. And there’s s brief, but fascinating description of the auto industry’s use of AI. One existing application assesses driver fatigue. Hyundai and MIT are developing AI controls that “can optimize the environment of a vehicle based on passengers’ emotional states.”

Not every trend is as futuristic or novel. Some of the trends are familiar.

We’ve all heard about the workplace changes the COVID pandemic has caused or, like working from home, accelerated. Agreeing with the many predictions that remote work is here to stay, CBInsights tells us to “expect to see offices becoming increasingly like hotels used for short visits, and less like the cushy big tech ‘campuses’ that came into fashion in the pre-Covid era.”

“Many companies will see an irrevocable shift in office culture in the coming years. They will need to be prepared for a future where employees treat going into the office less like showing up at their home away from home, and more like a special occasion, like checking into a hotel.”

Photo by Josh Hild on Unsplash

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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.

If you’re looking to take your career to the next level be sure to check out our IT page.

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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