Article | December 21, 2020
Machine learning — a branch of artificial intelligence that gives computer systems the ability to automatically improve and learn from experience — has been making serious waves for the last few years. More recently, though, the applications for smartphones and other small screen experiences have started to take shape, driving the way millions interact with their mobile devices.
Yes, Your Mobile Devices are Becoming Smarter
So what do these innovations means for your business? Machine learning can, essentially, make your smartphone “smarter” by improving a host of functions and processes instantly. In fact, most smartphones are already using some type of machine learning or intelligent automation application that aids mobile devices in becoming more efficient and effective. Predictive text messaging, for example, is one such application that’s already become part of the mobile vernacular — chances are, you use it daily without thinking twice.
As a whole, businesses are ramping up their machine learning investment, meaning we’ll be seeing more of this technology — and more accessible versions of this technology — in the coming months and years. For each generation, there’s an added level of intuitiveness when it comes to mobile technology — your current smartphone is smarter than the computers that helped bring man to the moon, in many ways. From that end, how advanced will our mobile devices be in another 10 or 20 years? Smartphones could be paving the way for Robotic Process Automation (RPA) and evolving the very way many industries work.
What’s Next for Mobile Machine Learning
Historically, machine learning requires a tremendous amount of power — power mobile devices simply didn’t have. However, businesses can now install special chips in drones, automobiles and smartphones enabling them to consume 90 percent less power. As a result, mobile devices — even without an internet connection — can perform a variety of once-complex tasks, including:
Virtual / Augmented Reality
Smarter Camera Functionalities
Improved Device Security
Going forward, envelope-pushers are driving towards even bigger, better, more sophisticated applications — think motion control and navigation, diagnosing and analyzing sensory data and more. Interactivity or perceptual interfaces are also capabilities that the new applications are expected to be equipped with, giving mobile devices seemingly endless capabilities.
Due to these unique benefits, machine learning on small devices is clearly becoming a priority for businesses.
Article | March 23, 2020
Coronavirus, COVID-19, is the talk of the town over weeks now if not months. The pandemic nightmare continues to terrorize on a global scale. It is bizarre to believe that bustling shopping malls, house full PVR halls, the crowd at Starbucks phase into Mexican Drug Ghost-towns. As of March 23, 2020, more than 349,000 people have contracted the novel coronavirus and at least 15,308 have died, according to a tally by Johns Hopkins University. Although the documented cases in terms of total recovery are at 100,165, the number of causalities by Coronavirus is larger than SARS (2002-20040 and Bird Flu of 2013, and is slowly closing to the total deaths in Swine Flu (2009-2010) i.e. 18,036.
Article | September 22, 2021
Humanity is ready for the next technology step – an interactive virtual world, where everyone can hang out with games, adventures, shopping, and the best new virtual identities. A parallel universe, if you may!
Take a look at the first promotional video of the first virtual world and avatars. Circa 1986.
Enter – The Metaverse – the tech world’s latest obsession that traces its origins to a dystopic sci-fi novel. Sounds like science fiction? It is not. Through the years, the journey from Habitat to a fully functioning metaverse has come together piece by piece, supported by gaming, social media, and a vibrant digital economy.
We are in the Metaverse now!
The Metaverse is a shared, virtual space akin to a digital mirror of the natural world, without any constraints. In a recent earnings call, Mark Zuckerberg shared his vision to turn Facebook into a metaverse company, describing it as “an embodied internet, where instead of just viewing content — you are in it.”
The Metaverse literally means ‘beyond universe’ since it combines a physical reality with a virtual space only limited by our imagination. If you google the term, you’ll find numerous definitions. It has been called the Mirror World, the AR Cloud, the Magic Verse, the Spatial Internet, or Live Maps. But, one thing is sure – it’s coming and it is a big deal.
Like “cyberspace,” a term coined by fiction writer William Gibson, “metaverse” also has literary origins. The term first appeared in the novel “Snow Crash,” written by Neal Stephenson in 1992. It spoke of a new space where humans, as avatars interact with each other and software-generated entities, in a three-dimensional space that uses the natural world metaphor
Twenty-six years later, “Ready Player One” provided a glimpse of our possible future in the year 2045, where the world is faced with multiple crises. To escape this reality, people go to an alternate virtual universe called the OASIS. It functions as a virtual society, with its currency, own set of rules, and all. The movie could be a prototype of a future Metaverse.
The video game Second Life, released in 2003 by Linden Lab, created a virtual world where users could wander, building their structures; people bought land there for either U.S. dollars or Linden Dollars’ in-game currency.
With some cooperation between technology companies and futurists, the Metaverse could be just around the corner. Companies like Facebook, NVIDIA, Huawei, Microsoft, and others seem very clear of their intent to create a metaverse (their Metaverse?). The target? Compounding the size of the addressable market manifold by fusing the digital economies of the physical world with the virtual. FB is investing billions of dollars in creating devices that would make this a reality, starting with a smart wristband and VR goggles that project the wearer’s eyes. FB’s acquisition of Oculus in 2014 seems to be a step towards “getting ready for the platforms of tomorrow.”
Microsoft is equipped with enough AI and mixed reality tools in their Metaverse tech stack to be a worthy contender. Satya Nadella has already declared their intention to build an ‘enterprise metaverse” using digital twins, mixed reality, and what they call Metaverse apps. FYI – Microsoft already owns Minecraft, which has its own virtual ecosystem.
Gaming companies like Epic Games have already released simulation software and VR services. Epic Games (Fortnite) has raised USD 1 billion for its metaverse plans; Roblox and computing giant, Nvidia, is also working in this direction.
The idea isn’t new. People have toyed with the idea of living in a virtual world for ages. A lot of money has been spent (and lost) in virtual economies like Second Life and EVE Online.
Brands and retailers are already trying to create new customer engagement channels in this new world. FinTechs are attempting to seize the opportunity to capitalize on unique financial needs in the virtual world, while a battery of startups is creating new virtual products entirely, from avatars to crypto-collectibles.
But the question stays, is a metaverse possible? Is it real? What does it mean for the general population – both as individuals and businesses? Will there be one Metaverse to rule them all?
No single company can or should own or run the Metaverse. However, it requires cooperation to create consistency. For example – assets that one acquires in the Metaverse will need to be portable, with digital rights preferably moving between platforms owned by different corporations.
Silicon Valley is a great proponent of this new world. However, critics are more guarded – they believe the Metaverse could easily become a catch phrase – like “artificial intelligence” and “blockchain” – an attempt by start-ups to woo venture dollars.
Whatever form the Metaverse ultimately takes, its wider adoption will require a revolution across technologies across infra, consumer-facing devices, platforms, content, and more.
Till then, we have the Marvel parallel universes to revel in – the Multiverse where the God of Mischief reigns, lives, and perhaps dies!Enable GingerCannot connect to Ginger Check your internet connection
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Article | February 27, 2020
Wouldn’t it be great if you’d know where to find prospects that are most likely to buy? Or what’s bugging them to delay buying? If it was possible to get insights on the purchase-intent of your buyer? Or if they are truly looking to buy? Most businesses spend huge amounts on advertising campaigns and still don’t come any close to meet their intended targets. If you’re looking to shoot a bulls-eye, landing huge B2B buyers from profiling alone is an imprecise way. This is where Intent Data comes in. Intent is an efficient tool that helps B2B marketers in precise prospect targeting based on their behavior when in the purchase cycle. Are you receiving mixed signals from your buyers? Intent Data is the solution. And it’s burying traditional marketing ways deep into oblivion. These tactics are widely adopted (40% to be precise) by B2B marketers around the world. But the information on ‘intent data’ has is found to be random, scattered and disconnected. Getting the customers’ buying journey mapped and monitored is becoming a sophisticated task for marketers today.