AI and data science are influencing and enhancing the future of humanity in almost every sector of our planet today. AI has transformed over the last few years from a science-fiction fantasy to an essential component of our daily life.
To thrive in change is the task, not merely to endure it. In order to generate long-term commercial value, businesses are prepared to look beyond the fundamentals and reconsider their data science expenditures. In the past two years, boardrooms and newsrooms have given data science a lot of attention. Data legislation, data governance, AutoML and TinyML, as well as the ongoing boom in cloud migration, have all seen expanded growth and quick change as a result of the rapid acceptance and concentration on data science.
In the last few years, as data science has significantly augmented human ability to reinvent business basics and produce crucial value, the emphasis and expectations of the global corporation have drastically changed. Building trust, scalability, technological proliferation, personalisation, and locating the best talent and skills are predicted to be the key areas of focus in 2023. Investigate how, in the upcoming years, these themes will affect and interact with the strategic priorities of businesses.
Theme 1: Scalability and trust-building
Insights, scalability, and reliability will be the key factors in 2023. This theme is centred on scalability, which enables better judgement and better outcomes.
Augmented Intelligence: Up to this point, standalone applications and result prediction have been the main uses of AI and ML. In the upcoming year, both machine learning and natural language processing will be utilised to improve workflow efficiencies by analysing data and automating procedures while also extracting insights from it. With intelligent automation and useful insights, augmented intelligence can transform data analytics.
Ethical and Explainable Intelligence: As AI/ML becomes omnipresent in every facet of life, from healthcare to governance, the need to white box them also becomes more crucial. Likewise, it will become increasingly important to explain ML outputs and what specific data was used for what purposes. Ethics and fairness in AI/ML will assist in explaining or removing inherent biases to prevent inequitable decisions, making this trend important for 2023 and many years to come.
AI for Sustainability: As the world faces the massive challenges of climate change and reducing carbon footprint, AI can serve as a superhero, helping to build more efficient and sustainable products, optimise energy efficiency, and identify pressing problems. AI supports sustainability across industries, companies, and countries. In 2022, we saw the onset of AI as a driver for sustainability—2023 will take this critical trend to the next level.
Theme 2: Technology proliferation and personalization
Enterprises achieve the goal of hyper-personalization through immersive technologies, enhanced connectivity, and advanced data science models. We will see more experimentation, more consolidation, and more conversational AI.
Quantum ML: Experimentation of quantum computing to build more powerful ML models will grow in 2023. With big players like Microsoft and Amazon enabling quantum computing resources via the cloud, this may soon become a reality.
Consolidation of MLOPs: In 2022, enterprise adoption of MLOPs—which deliver scale, speed, and production diagnostics to improve existing models—took shape in a big way. In the coming year, companies are expected to increase their ML budgets fourfold, with a substantial part of it dedicated to MLOps to support enhanced real-time collaboration between teams. While downstream integrations will continue to be a challenge, additional processes and frameworks will be put in place at the initial stage of development to address this issue.
Conversational AI: Our society is becoming increasingly dependent on systems that provide instant gratification and contextual recommendations. Therefore, there is an imminent need to make our AI more engaging and personalised. Currently, most systems can handle basic conversations using simple scripts and act as a guided resolution agenda. However, with the adoption of GPT-3 frameworks, we will see a new generation of AI that can handle more complex conversations. It will be possible for AI to understand the user’s intent and respond accordingly. Furthermore, they will remember previous interactions and provide more personalised service. With the advancement of conversational AI, chatbots will become an integral part of our lives.
Theme 3: Finding the right talent and skills
Finding the right talent will continue to be a challenge, so companies must go beyond conventional methods in identifying and securing the best and the brightest.
Talent Crunch: The gap between supply and demand regarding data science talent will continue to widen in 2023. Companies must spend a wealth of time, money, and resources to find the best available data scientists. They should focus on organising Hackathons, bootcamps, and meetups to target new-age skillsets in AI and data science. Identifying niche skill sets through conventional hiring channels could be challenging. For example, full-stack data science skill sets will now include business domain, machine learning, software engineering, ML engineering, and infrastructure engineering to build end-to-end assets.
Citizen Data Scientists: The one-two punch of the data scientist talent crunch and the increase in no-code/low-code machine learning platforms will strengthen and grow the citizen data scientist community to deliver self-service ML as a business user. Citizen data scientists can bolster organisational value, solve a host of business-specific issues, and deliver meaningful prescriptive analytics.
Scalability, personalization, and talent will make headlines throughout 2023. Fortunately for prognosticators, data science continues to explode and evolve, creating new efficiencies, adoption, and trends that will complement growth and innovation across industries for years to come. Companies and individuals have much to look forward to in 2023 and beyond.
