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Augmenting the realities of work

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Augmenting the realities of work


So, for example. Right now, we do video meetings. It would be more interesting for some people to be able to join those meetings, say, in VR. Companies have experimented with that, but most of the experiments that people are doing assume that everyone is going to move into virtual reality, or we’re going to bring, say, the people in as a little video wall on the side of a big virtual reality room, making them second class citizens.

I’m really interested and my team is interested in how we can start incorporating technologies like this while keeping everyone a first-class participant in these meetings. As one example, a lot of the systems that large enterprises build, and we’re no different, are web-based right now. So if, let’s say, I have a system to do financial forecasting, you could imagine there’s a bunch of those at a bank, and it’s a web-based system, I’m really interested in how do we add the ability for people to go into a virtual reality or augmented reality experience, say, a 3D visualization of some kind of data at the moment they want to do it, do the work that they want to do, invite colleagues in to discuss things, and then go back to the work as it was always done on a desktop web browser.

So that idea of thinking of these technologies as a capability, a feature instead of a new whole application and way of doing things permeates all the work we’re doing. When I look down the road at where this can go, I see in, say, let’s say, two to five years, I see people with displays maybe sitting on their desk. They have their tablet and their phone, and they might also have another display or two sitting there. They’re doing their work, and at different times, they might be in a video chat, they might pick up a head mount and put it on to do different things, but it’s all integrated. I’m really interested in how we connect these together and reduce friction. Right? If it takes you four or five minutes to move your work into a VR experience, nobody is going to do it because it just is too problematic. So it’s that. It’s thinking about how the technologies integrate and how we can add value where there is value and not trying to replace everything we do with these technologies.

Laurel: So to stay on that future focus, how do you foresee the immersive technology landscape entirely evolving over the next decade, and how will your research enable those changes?

Blair: So, at some level, it’s really hard to answer that question. Right? So if I think back 10 years to where immersive technologies were, it would have been inconceivable for us to imagine the videos that are coming out. So, at some level, I can say, “Well, I have no idea where we’re going to be in 10 years.” On the other hand, it’s pretty safe to imagine the kinds of technologies that we’re experimenting with now just getting better, and more comfortable, and more easy to integrate into work. So I think the landscape is going to evolve in the near term to be more amenable to work.

Especially for augmented reality, the threshold that these devices would have to get to such that a lot of people would be willing to wear them all the time while they’re walking down the street, playing sports, doing whatever, that’s a very high bar because it has to be small, it has to be light, it has to be cheap, it has to have a battery that lasts all day, etcetera, etcetera. On the other hand, in the enterprise, in any business situation, it’s easy to imagine the scenario I described. It’s sitting on my desk, I pick it up, I put it on, I take it off.

In the medium term after that, I think we will see more consumer applications as people start solving more of the problems that are preventing people from wearing these devices for longer periods of time. Right? It’s not just size, and battery power, and comfort, it’s also things like optics. Right? A lot of people — not a lot, but say, let’s say 10%, 15% of people might experience headaches, or nausea, or other kinds of discomfort when they wear a VR display as they’re currently built, and a lot of that has to do with the fact that the optics that you’re looking at when you’re putting this display are built in a way that makes it hard to comfortably focus at objects at different distances away from you without getting into the nitty-gritty details. For many of us, that’s fine. We can deal with the slight problems. But for some people, it’s problematic.

So as we figure out how to solve problems like that, more people can wear them, and more people can use them. I think that’s a really critical issue for not just consumers, but for the enterprise because if we think about a future where more of our business applications and the kind of way we work are done with technologies like this, these technologies have to be accessible to everybody. Right? If that 10% or 15% of people get headaches and feel nauseous wearing this device, you’ve now disenfranchised a pretty significant portion of your workforce, but I think those can be solved, and so we need to be thinking about how we can enable everybody to use them.

On the other hand, technologies like this can enfranchise more people, where right now, working remotely, working in a distributed sense is hard. For many kinds of work, it’s difficult to do remotely. If we can figure out more ways of enabling people to work together in a distributed way, we can start enabling more people to participate meaningfully in a wider variety of jobs.

Laurel: Blair, that was fantastic. It’s so interesting. I really appreciate your perspective and sharing it here with us on the Business Lab.

Blair: It was great to be here. I enjoyed talking to you.

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The hunter-gatherer groups at the heart of a microbiome gold rush

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The hunter-gatherer groups at the heart of a microbiome gold rush


The first step to finding out is to catalogue what microbes we might have lost. To get as close to ancient microbiomes as possible, microbiologists have begun studying multiple Indigenous groups. Two have received the most attention: the Yanomami of the Amazon rainforest and the Hadza, in northern Tanzania. 

Researchers have made some startling discoveries already. A study by Sonnenburg and his colleagues, published in July, found that the gut microbiomes of the Hadza appear to include bugs that aren’t seen elsewhere—around 20% of the microbe genomes identified had not been recorded in a global catalogue of over 200,000 such genomes. The researchers found 8.4 million protein families in the guts of the 167 Hadza people they studied. Over half of them had not previously been identified in the human gut.

Plenty of other studies published in the last decade or so have helped build a picture of how the diets and lifestyles of hunter-gatherer societies influence the microbiome, and scientists have speculated on what this means for those living in more industrialized societies. But these revelations have come at a price.

A changing way of life

The Hadza people hunt wild animals and forage for fruit and honey. “We still live the ancient way of life, with arrows and old knives,” says Mangola, who works with the Olanakwe Community Fund to support education and economic projects for the Hadza. Hunters seek out food in the bush, which might include baboons, vervet monkeys, guinea fowl, kudu, porcupines, or dik-dik. Gatherers collect fruits, vegetables, and honey.

Mangola, who has met with multiple scientists over the years and participated in many research projects, has witnessed firsthand the impact of such research on his community. Much of it has been positive. But not all researchers act thoughtfully and ethically, he says, and some have exploited or harmed the community.

One enduring problem, says Mangola, is that scientists have tended to come and study the Hadza without properly explaining their research or their results. They arrive from Europe or the US, accompanied by guides, and collect feces, blood, hair, and other biological samples. Often, the people giving up these samples don’t know what they will be used for, says Mangola. Scientists get their results and publish them without returning to share them. “You tell the world [what you’ve discovered]—why can’t you come back to Tanzania to tell the Hadza?” asks Mangola. “It would bring meaning and excitement to the community,” he says.

Some scientists have talked about the Hadza as if they were living fossils, says Alyssa Crittenden, a nutritional anthropologist and biologist at the University of Nevada in Las Vegas, who has been studying and working with the Hadza for the last two decades.

The Hadza have been described as being “locked in time,” she adds, but characterizations like that don’t reflect reality. She has made many trips to Tanzania and seen for herself how life has changed. Tourists flock to the region. Roads have been built. Charities have helped the Hadza secure land rights. Mangola went abroad for his education: he has a law degree and a master’s from the Indigenous Peoples Law and Policy program at the University of Arizona.

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The Download: a microbiome gold rush, and Eric Schmidt’s election misinformation plan

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The Download: a microbiome gold rush, and Eric Schmidt’s election misinformation plan


Over the last couple of decades, scientists have come to realize just how important the microbes that crawl all over us are to our health. But some believe our microbiomes are in crisis—casualties of an increasingly sanitized way of life. Disturbances in the collections of microbes we host have been associated with a whole host of diseases, ranging from arthritis to Alzheimer’s.

Some might not be completely gone, though. Scientists believe many might still be hiding inside the intestines of people who don’t live in the polluted, processed environment that most of the rest of us share. They’ve been studying the feces of people like the Yanomami, an Indigenous group in the Amazon, who appear to still have some of the microbes that other people have lost. 

But there is a major catch: we don’t know whether those in hunter-gatherer societies really do have “healthier” microbiomes—and if they do, whether the benefits could be shared with others. At the same time, members of the communities being studied are concerned about the risk of what’s called biopiracy—taking natural resources from poorer countries for the benefit of wealthier ones. Read the full story.

—Jessica Hamzelou

Eric Schmidt has a 6-point plan for fighting election misinformation

—by Eric Schmidt, formerly the CEO of Google, and current cofounder of philanthropic initiative Schmidt Futures

The coming year will be one of seismic political shifts. Over 4 billion people will head to the polls in countries including the United States, Taiwan, India, and Indonesia, making 2024 the biggest election year in history.

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Navigating a shifting customer-engagement landscape with generative AI

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Navigating a shifting customer-engagement landscape with generative AI


A strategic imperative

Generative AI’s ability to harness customer data in a highly sophisticated manner means enterprises are accelerating plans to invest in and leverage the technology’s capabilities. In a study titled “The Future of Enterprise Data & AI,” Corinium Intelligence and WNS Triange surveyed 100 global C-suite leaders and decision-makers specializing in AI, analytics, and data. Seventy-six percent of the respondents said that their organizations are already using or planning to use generative AI.

According to McKinsey, while generative AI will affect most business functions, “four of them will likely account for 75% of the total annual value it can deliver.” Among these are marketing and sales and customer operations. Yet, despite the technology’s benefits, many leaders are unsure about the right approach to take and mindful of the risks associated with large investments.

Mapping out a generative AI pathway

One of the first challenges organizations need to overcome is senior leadership alignment. “You need the necessary strategy; you need the ability to have the necessary buy-in of people,” says Ayer. “You need to make sure that you’ve got the right use case and business case for each one of them.” In other words, a clearly defined roadmap and precise business objectives are as crucial as understanding whether a process is amenable to the use of generative AI.

The implementation of a generative AI strategy can take time. According to Ayer, business leaders should maintain a realistic perspective on the duration required for formulating a strategy, conduct necessary training across various teams and functions, and identify the areas of value addition. And for any generative AI deployment to work seamlessly, the right data ecosystems must be in place.

Ayer cites WNS Triange’s collaboration with an insurer to create a claims process by leveraging generative AI. Thanks to the new technology, the insurer can immediately assess the severity of a vehicle’s damage from an accident and make a claims recommendation based on the unstructured data provided by the client. “Because this can be immediately assessed by a surveyor and they can reach a recommendation quickly, this instantly improves the insurer’s ability to satisfy their policyholders and reduce the claims processing time,” Ayer explains.

All that, however, would not be possible without data on past claims history, repair costs, transaction data, and other necessary data sets to extract clear value from generative AI analysis. “Be very clear about data sufficiency. Don’t jump into a program where eventually you realize you don’t have the necessary data,” Ayer says.

The benefits of third-party experience

Enterprises are increasingly aware that they must embrace generative AI, but knowing where to begin is another thing. “You start off wanting to make sure you don’t repeat mistakes other people have made,” says Ayer. An external provider can help organizations avoid those mistakes and leverage best practices and frameworks for testing and defining explainability and benchmarks for return on investment (ROI).

Using pre-built solutions by external partners can expedite time to market and increase a generative AI program’s value. These solutions can harness pre-built industry-specific generative AI platforms to accelerate deployment. “Generative AI programs can be extremely complicated,” Ayer points out. “There are a lot of infrastructure requirements, touch points with customers, and internal regulations. Organizations will also have to consider using pre-built solutions to accelerate speed to value. Third-party service providers bring the expertise of having an integrated approach to all these elements.”

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