If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
A survey of over 19,000 data professionals showed that nearly 2/3rds of respondents said they analyze data to influence product/business decisions. Only 1/4 of respondents said they do research to advance the state of the art of machine learning. Different data roles have different work activity profiles with Data Scientists engaging in more different work activities than other data professionals. We know that data professionals, when working on data science and machine learning projects, spend their time on a variety of different activities (e.g., gathering data, analyzing data, communicating to stakeholders) to complete those projects. Today's post will focus on the broad work activities (or projects) that make up their roles at work, including "Build prototypes to explore applying machine learning to new areas" and "Analyze and understand data to influence product or business decisions".
For the third straight year, Deloitte surveyed executives about their companies' sentiments and practices regarding AI technologies. We were particularly interested in understanding what it will take to stay ahead of the pack as AI adoption grows--and we wanted to learn how adopters are managing risk around the technologies as AI governance, trust, and ethics become more of a boardroom issue. Get the Deloitte Insights app. Adopters continue to have confidence in AI technologies' ability to drive value and advantage. We see increasing levels of AI technology implementation and financial investment. Adopters say they are realizing competitive advantage and expect AI-powered transformation to happen for both their organization and industry. Early-mover advantage may fade soon. As adoption becomes ubiquitous, AI-powered organizations may have to work harder to maintain an edge over their industry peers.
With a holistic transformation strategy, AI can create wonders. Over the past decade, digital transformation has been changing and re-inventing the way organisations conduct business. Essentially, it is the process of leveraging digital technology to create new or modify existing customer experiences as well as business culture and processes, to meet changing customer and market needs. Digital transformation is a foundational change in how an organisation delivers value to its customers. Here's where artificial intelligence (AI) is poised to become the game changer.
In Deloitte's third edition of the "State of AI in the Enterprise" survey, conducted between October and December 2019, the authors suggest that businesses are now entering an age of Pervasive AI, where its use is becoming more and more widespread. In fact, 74% of the businesses surveyed think that AI will be fully integrated into all aspects of their business in the next three years, and 64% say it enables them to gain a competitive edge. As AI becomes more pervasive, Deloitte's survey claims that we are now moving from the "early adopter" phase of AI's use, to the "early majority" phase, where many more businesses are starting to invest in AI and are increasingly convinced of its benefits. The businesses surveyed were split into three types of AI adopter: starters (27%), skilled (47%) and seasoned (26%). So how do different adopters use AI, and what are their reasons for integrating it into their business operations?
We've most certainly learnt a thing or two about what makes a thorough and informative salary report since conducting our first salary survey in 2017. Our European Salary Report for 2020 has seen a response of more than one thousand participants which has enabled us to provide a truly data rich and comprehensive insight on what the Data Science market currently looks like. The top countries to provide responses to our survey during 2019 came from Germany, France, Switzerland, The Netherlands and The UK. Much like our 2019 survey, many respondents were Data Scientists, but we've also collected results from Data Engineers, Researchers, Machine Learning Engineers and C-Level professionals. This report covers a broad scope of professions in the European data science market at all levels.
You just might not see them. The use of artificial intelligence and machine learning at work continues to grow, with a majority of organizations expecting it to play a major role in how they manage the digital workplace. But exactly how it will be used is still a work in progress. That's one conclusion drawn from a study of more than 450 executives surveyed for "The State of the Digital Workplace 2020" report. Simpler Media Group, Reworked's parent company, conducted this original survey in spring 2020 to assess digital workplace practices and applications.
From The Love Bug through to Westworld, movies and TV shows have evolved self-driving vehicles to create unforgettable moments. But consumers remain wary of their real-life counterparts as they start to roll out onto roads around the world. Vanarama has visualised the 20 most iconic on-screen autonomous vehicles from 1960s to present day in an infographic timeline. We're getting closer to traveling from A to B in autonomous cars by the day, with a projected market of $615bn by 2026 (up from $27bn in 2017) including auto manufacturers such as BMW, Audi, Toyota to more disruptive tech-led businesses like Tesla, Google, Uber. A recent study by trend analysts ResearchAndMarkets has predicted that the global autonomous market is likely to reach a value of $615bn by 2026.
Business leaders and technologists see artificial intelligence differently -- which is not a surprise. However, they have different perspectives on the progress on AI projects, and what it takes to scale AI to meet enterprise challenges. For example, technologists are twice as likely to see lack of viable data as an issue. "This could be attributed to business leaders misunderstanding that the data on hand is often not the data needed when it comes to deploying AI at scale," the authors of a recent survey report released by Appen, surmise. When asked about the issues encountered with AI, technologists were more likely than business leaders to cite skills issues (24% versus 21%) and lack of data (17% versus 9%).
Legal professionals and aspiring lawyers may soon start facing competition from artificial intelligence (AI) which could take over day-to-day tasks in the next three to five years. A survey by BML Munjal University (BMU) School of Law and legal search/consulting firm Vahura showed that 90 percent of the respondents (lawyers) foresee use of digitisation and technology in the sector. The survey titled'Decoding the Next - Gen Legal Professional' sought to capture the practitioners' perspective of the practice of law and to identify the relevant skills required of lawyers in the rapidly transforming legal environment in India. In an interaction with Moneycontrol, Nigam Nuggehalli, professor and dean of the BMU School of Law said that tasks like due diligence that is traditionally done by legal professionals could be taken over by AI. "In areas like due diligence which requires detailed inspection, maybe AI can do it better," he added. According to the survey, technology solutions in the legal space may replace some human roles at the entry-level by way of automating repetitive and standardized work but are expected to augment others such as reviewing documents more efficiently.
Conducted by Corinium and sponsored by FICO, the report – Building AI-Driven Enterprises in a Disrupted Environment – surveyed more than 100 c-level analytic and data executives and conducted in-depth interviews to understand how organizations are developing and deploying AI capabilities. The study found that the uncertainties caused by the pandemic have forced many organizations to adopt a more committed, disciplined approach to becoming an AI-driven enterprise, with more than half (57 percent) of the chief data and analytics officers saying that COVID-19 has increased demand for AI, digital products and tools. Enterprises are seeking new AI-driven ways to mitigate risks and navigate through uncharted territories in the current economic environment. The report reveals the central role AI has in shaping the future as global markets work through and begin to recover from COVID-19; as well as how to mitigate future risk and disruption going forward. Most data-driven enterprises are now aggressively investing in their AI capabilities, in fact 63 percent of respondents have started scaling AI capacity within their organization. However, enterprise chief data and chief analytics officers are facing a wide range of challenges as they increasingly look to grow AI. 93 percent say ethical considerations represent a barrier to AI adoption.