5 AI, computing, and Big Data developments the Evo team is looking forward to this year
The holiday season is officially over, and everyone is settling back into their everyday routines here at Evo. But no one in the EvoFamily wanted to miss the opportunity to make improvements that would set this year up for even better innovations. That’s why we spent our first week back setting goals and expectations for 2022. We even made our predictions for 2022 growth!
Beyond the world of Evo, however, there are plenty of exciting developments in AI computing and Big Data that our data scientists are expecting to see in the new year. Here are 5 data science predictions for 2022 that the Evo team expects this year.
1. Data science techniques will start to become standard, even for small companies.
The costs to apply Big Data and data science techniques generally have decreased significantly in recent years. Markets have become increasingly competitive over that same time. That’s one reason why the Evo team foresees that data science techniques will now be leveraged by more and more companies, even those that were previously too small to afford and maintain these techniques or did not have enough data on their own apply them.
Evo’s Head of Product, Elena Marocco, feels that 2022 is the year that we will finally see AI accessibility expand. “As data grows exponentially, more and more companies can use data science and machine learning techniques to improve impact and outcomes. Data science will expand even more than now, in many different contexts. Even the smallest companies will start using it”.
2. Quantum computing and neuromorphic hardware will finally become viable technologies for machine learning.
Experts have long been predicting that the next year will be the year quantum computing finally matures, so it might seem bold to assume that 2022 is the year that this will ultimately become true. Still, there’s good reason to think this year will hold significant milestones. Over the past year, serious strides towards quantum viability were made, and countries like France and the United States are investing in real applications for the technologies. Venture capital for quantum computing startups has expanded exponentially.
This maturation will allow for real-world applications to start developing. Evo Senior Data Scientist Pietro Quaglio says, “Quantum computing and neuromorphic hardware will become to be viable computing architectures for scaling specific machine learning methodologies”. Evo Data Scientist Andrea Sperduti agrees, adding that “it will be most interesting to see those quantum machine learning applications made possible in 2022”.
3. Customer demand for AI will continue to increase — but slowly.
According to McKinsey’s State of AI 2021 report, AI adoption has finally reached a tipping point: for the first time, a majority of companies are using it in some capacity. Demand is rising, and use cases continue to diversify. People at Evo think this trend will continue but not accelerate in 2022. After all, it takes a complete digital transformation before AI can gain the full traction in the market that it will have in a few years.
“There will be a tepid increase in customer-side demand for AI because increased demand for AI products only comes after digitisation of internal processes (e.g. data in the cloud, monitoring sensors, etc.), which is still very slow. True acceleration of AI will only follow once this digitisation phase is complete,” explains Evo Customer Success Manager Benedetto Cavicchi.
4. Data science and machine learning will become a necessity across many customer-facing industries to deal with increasing pricing challenges.
2021 was the year everyone discovered the weaknesses in their supply chains, but 2022 is looking to be the year we will discover the weaknflawsur approach to pricing. Companies are already struggling to reach customers due to higher than usual inflation. We are entering 2022 with customer sentiment at a ten-year low, and pressures from discount channels in grocery and online competition increase every day.
According to Client Team Leader Giuseppe Craparotta, “We’ve been hearing more and more interest from prospects and clients in outlets; it’s becoming a pattern! No one should underestimate the importance of pricing in this increasingly volatile and crowded market. In fact, I’d say it’s going to be a leading management concern in 2022.”
5. AI and machine learning will start to solve problems in the metaverse.
At the moment, most AI and machine learning applications firmly focus on finding solutions to real-world problems. As we expand our online lives, however, these same unique prescriptive problem-solving skills will also be needed in the metaverse. Evo data scientists expect to see more AI and machine learning applications focused entirely in fully online contexts.
As Andrea Sperduti puts it, “I expect a rapid expansion of AI and ML for logistics/supply chain, medical, finance applications, but I do also foresee the first metaverse applications. AI can be used in the metaverse to create whole virtual worlds based on machine learning algorithms that try to replicate reality or even create human-like voices and languages.”
To an innovative 2022 and beyond!
Everyone’s excited to see what 2022 will bring. But our data scientists don’t think that small! We are also looking forward to the most significant developments for many years to come. These 2022 predictions sparked some fascinating debates as to what we expect for the next 5, 10 and 50 years past 2022: both for Evo and the world at large.
As Elena Marocco puts it, “It’s always interesting to imagine what’s going to happen next year, but it’s the larger-scale developments that matter most. I personally am more excited to see where we will be as a company and an industry in 10 years. Surely massive changes await us.”
I can’t wait to see what they will be!
About the author
Kaitlin Goodrich is Evo’s main storyteller who helps communicate Evo’s message to the world.
Kaitlin received her BS in International Affairs and Modern Languages at Georgia Tech and then an LLM in International Trade Law from the University of Turin. She worked in Latin America doing education outreach for U.S. binational centers and has since worked as a content writer for international clients.
In her free time, she likes to travel or curl up with a good book.