Careers in artificial intelligence
IT professionals interested in careers in artificial intelligence must have data science skills to make the move. Jobs in AI are plentiful, but having specific certifications, knowledge and background are necessary. Get information on job trends in the field of artificial intelligence and how automation technologies influence the data science role.
Top Stories
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Feature
24 Jan 2023
How to become an artificial intelligence engineer
Learn what it takes to launch a rewarding career as an AI engineer, including required skills, responsibilities, qualifications, educational opportunities and top salaries. Continue Reading
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News
15 Dec 2022
Lensa AI app mixes up data, privacy and representation
The app generates avatars from users' images. While the terms and conditions worry critics, the avatars provide representation of racial groups not usually seen in art. Continue Reading
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Feature
15 Jul 2022
The future of data science: Career outlook and industry trends
The future of data science as a profession is unclear, as new technologies change the responsibilities of data scientists. It may also soon change the nature of the job. Continue Reading
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News
30 Mar 2022
Enterprises not focused enough on AI governance, security
AI has reached a plateau, with many organizations using similar AI and machine learning tools. But enterprises have been slow to implement AI ethics and effective cybersecurity. Continue Reading
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Feature
11 Feb 2022
Differentiating between good and bad AI bias
As lawmakers and regulators look at ways to make machine learning models fair, some tech vendors are creating tools that aim to enable enterprises to achieve that purpose. Continue Reading
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News
21 Sep 2021
Deloitte AI Academy: A training ground for AI talent
The global consulting giant's new AI Academy will provide supplemental education that closes the gap between the knowledge of AI tools and domain experiences and applications. Continue Reading
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Guest Post
14 Sep 2021
Model optimization methods to cut latency, adapt to new data
This last part of the series on machine learning explains two final model optimization techniques: lightweight model implementation and incremental model learning. Continue Reading
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Guest Post
20 Aug 2021
ML model optimization with ensemble learning, retraining
Making ML models better post-deployment can be accomplished. Learn the ins and outs of two key techniques: ensemble learning and frequent model retraining. Continue Reading
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Guest Post
27 Jul 2021
3 ways to evaluate and improve machine learning models
Training performance evaluation, prediction performance evaluation and baseline modeling can refine machine learning models. Learn how they work together to improve predictions. Continue Reading
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Guest Post
28 Jun 2021
Discover 2 unsupervised techniques that help categorize data
Two unsupervised techniques -- category discovery and pattern discovery -- solve ML problems by seeking similarities in data groups, rather than a specific value. Continue Reading
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Feature
23 Jun 2021
Combating racial bias in AI
By employing a diverse team to work on AI models, using large, diverse training sets, and keeping a sharp eye out, enterprises can root out bias in their AI models. Continue Reading
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Guest Post
16 Jun 2021
2 supervised learning techniques that aid value predictions
Learn how two supervised machine learning techniques -- numerical prediction and category prediction -- work to predict values and, thus, can aid model training. Continue Reading
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Guest Post
08 Jun 2021
Wrangling data with feature discretization, standardization
A variety of techniques help make data useful in machine learning algorithms. This article looks into two such data-wrangling techniques: discretization and standardization. Continue Reading
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Feature
25 May 2021
4 AI career path trajectories for IT professionals
As the desire for AI and machine learning in-house skills skyrocket, those looking to break into the market have a variety of career path options, including AI architect and BI developer. Continue Reading
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Guest Post
11 May 2021
2 data-wrangling techniques for better machine learning
Before data can be usefully inputted into algorithms, it must first be prepared. Learn two of the techniques that do the job and make machine learning work. Continue Reading
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Feature
10 May 2021
How to hire data scientists
Enterprises tend to want data scientists who have a drive to continue their training, through peer training or online platforms, to keep up with ongoing changes in the field. Continue Reading
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Tip
07 May 2021
11 data science skills for machine learning and AI
As companies realize the power of data, they're tasked with finding data science practitioners with AI and ML skill sets to help them use the data to make better business decisions. Continue Reading
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Feature
05 May 2021
Data scientists vs. machine learning engineers
The positions of data scientist and machine learning engineer are in high demand and are important for enterprises that want to make use of their data and use AI. Continue Reading
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Guest Post
22 Apr 2021
How feature selection, extraction improve ML predictions
In this discussion of machine learning patterns, learn how feature selection and feature extraction help make data more useful and, thus, improve predictions. Continue Reading
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Guest Post
12 Apr 2021
Associativity, graphical summary computations aid ML insights
Associativity computation and graphical summary computation allow for more complex insights, and in turn improve predictions. Explore how these ML techniques work in practice. Continue Reading
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Feature
09 Apr 2021
New DataRobot CEO sees bright AI future for the vendor
New CEO Dan Wright discusses how DataRobot can stay competitive in a crowded AI marketplace, new markets for the vendor, and how DataRobot has tackled the pandemic. Continue Reading
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News
07 Apr 2021
Research manager resigns amid Google AI ethics controversy
Prominent Google AI research manager Samy Bengio resigns from the company following months of internal discord and the termination of two AI researchers. Continue Reading
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Guest Post
23 Mar 2021
Common ML patterns: Central tendency and variability
Four common patterns provide approaches to solving machine-learning problems. Learn how two -- central tendency computation and variability computation -- work. Continue Reading
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Feature
03 Mar 2021
Cutting through the fear of how AI will affect jobs through automation
Dive into Steven Shwartz's recent book, 'Evil Robots, Killer Computers, and Other Myths,' with a chapter excerpt on employment and the future of work. Continue Reading
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Feature
19 Feb 2021
CTO on the need for AI ethics and diversity
A CTO talks about the importance of diverse data sets when creating AI models and how a lack of diversity can create bias in systems. Continue Reading
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News
19 Feb 2021
Nvidia opens paid, instructor-led AI workshops to the public
While many technology vendors offer online courses on how to use their AI products, it still might not be enough to educate the global workforce. Continue Reading
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Guest Post
19 Feb 2021
Free machine learning course: Using ML algorithms, practices and patterns
This 13-lesson series offers an overview of machine learning and its applications for those hoping to break into the machine learning job market or learn more about this technology. Continue Reading
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Quiz
02 Feb 2021
Do you have competitive data science key skills?
Data scientists should be familiar with a variety of programming languages, machine learning algorithms and databases and must be able to communicate these skills across teams. Continue Reading
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Feature
15 Jan 2021
Diverse talent pools and data sets can help solve bias in AI
Bringing historically underrepresented employees into critical parts of the design process while creating an AI model can reduce or eliminate bias in that model. Continue Reading
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News
04 Dec 2020
Hundreds support former Google AI ethics researcher Timnit Gebru
A prominent AI ethics researcher said she was unfairly fired by Google after sending an email to colleagues critical of the way Google treats women and people of color. Continue Reading
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News
25 Nov 2020
Courses teach automation to prepare students for the workforce
At a California university, students in April Morris' class learn how to use RPA and analytics tools. They hope to use the skills to get jobs out of school. Continue Reading
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News
31 Mar 2020
DataRobot layoffs come after years of growth
Boston-based automated machine learning vendor DataRobot, a major player in the AI industry, has laid off employees amid the coronavirus pandemic after years of fast growth for the company. Continue Reading
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Feature
06 Mar 2020
Data Science Central co-founder talks AI, data science trends
In a Q&A, Vincent Granville, executive data scientist and co-founder of Data Science Central, discusses how AI has changed the data science field and the ways in which it will continue to do so. Continue Reading
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Feature
17 Feb 2020
Employee AI readiness is fairly low
Enterprise employees are largely lacking in AI skills, and enterprises need to work to reskill or upskill employees to improve their skills and help reduce AI job loss fears. Continue Reading
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Feature
06 Jan 2020
5 mistakes that disrupt data science best practices
Through asking questions and understanding the real-world issues other parts of the company face, data scientists polish their enterprise contribution. Continue Reading
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Feature
31 Oct 2019
3 in-demand AI skills that boost data scientists' development
AI encompasses a wide range of disciplines, from advanced math to application development, and building a strong AI team starts with incredibly skilled data scientists. Continue Reading
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Feature
03 Oct 2019
Human-AI collaboration produces top results
Humans and machines have different -- and often complementary -- strengths and weaknesses. That's why we're not seeing automation leading to mass job losses, at least for now. Continue Reading
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Feature
25 Sep 2019
AI gig economy sets workers and bots on collision course
The future of work has shifted toward a gig economy, with high-value, short-term workers on demand for organizations. The fast turnover and high volume demand AI to reduce friction. Continue Reading
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News
19 Sep 2019
Organizations hire ethicists for AI ethical concerns
As organizations wrestle with AI ethical concerns, they need to create AI ethicist roles or develop teams to consider issues around data governance, data privacy and AI ethics. Continue Reading
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News
16 Sep 2019
Gen Z in the workforce both want and fear AI and automation
For Gen Z in the workforce, AI and automation are ways to ease workloads, even as the young generation worries the technologies could eventually replace them. Continue Reading
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News
28 Aug 2019
Microsoft India AI workshops to upskill government employees
Microsoft India partnered with the government of India to launch a new training program for government employees on AI, data governance and cloud computing. Continue Reading
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Feature
08 Aug 2019
The future of data science and AI points to automatic tools
The relationship between data scientists and companies using AI is evolving rapidly, shifting from a focus on trained professionals to experienced employees with automated tools. Continue Reading
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Feature
26 Jul 2019
Enterprises need to create an AI culture for success
Enterprises can resist using AI because of the cultural changes employees feel it will bring, including changes to employee job descriptions and elimination of outdated jobs. Continue Reading
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Infographic
26 Jul 2019
Mapping adoption of artificial intelligence in the enterprise
As many enterprises focus on use case research, the mature uses of AI are concentrated in supervised learning, structured data extraction and using a small number of platforms. Continue Reading
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Answer
31 May 2019
How to overcome the data scientist shortage
The industrywide data scientist shortage is leading companies like Schneider Electric to look internally for employees with a technical background and invest in training them. Continue Reading
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Feature
23 Apr 2019
AI vendors attack data scientist shortage with trainings
Internal data science training programs have helped vendors when colleges and universities have failed. Training is helping to fix the data scientist shortage. Continue Reading
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Feature
29 Jan 2019
Enterprises deploy AI in mining projects to improve analytics
By implementing AI in mining processes, enterprises are able to utilize data algorithms and automated machines to preserve the sensitive environment and their human workforce. Continue Reading
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Feature
28 Jan 2019
Debate over AI in the workforce requires a broad view
Enterprises that are poised to implement AI in the workforce don't have to forfeit human jobs to do so. Read a Dun & Bradstreet analyst's take on the intent of enterprise AI. Continue Reading
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Feature
28 Jan 2019
Recruiting data scientists for AI and machine learning
When hiring data scientists, be sure to include your data science team in the interview process, and strive to build a data-literate HR department. AI tools may also help. Continue Reading
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Feature
20 Nov 2018
Countries need national strategy for AI to stay competitive
With the Chinese government funding artificial intelligence at an aggressive pace, the U.S. and other countries are facing substantial pressure to step up their investment. Continue Reading
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News
14 Nov 2018
An AI project should start with a question, not an insight
Avis' former director of BI and analytics talks about the kind of analytics capabilities and business problems you need to have before launching your next AI project. Continue Reading
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Feature
31 Oct 2018
Nations sharpen AI strategies as global competition heats up
The U.S. and China are the leading countries in AI research and development right now, but nations throughout the world are developing strategies to remain competitive. Continue Reading
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Infographic
17 Oct 2018
AI taking jobs is not a concern for certain workers
AI and job loss may turn out to be among the biggest stories of this century, but workers in certain fields don't have nearly as much to worry about as others. Continue Reading
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Feature
24 Aug 2018
AI and jobs collide as automation looms
AI automation will eliminate a broad swath of today's jobs over time, but some jobs are likely to disappear sooner than others due to the uneven pace of technology development. Continue Reading
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Feature
20 Jul 2018
Data science tools of the trade fill skills gap
Data science tools are becoming more intelligent and better at understanding intent and context. But don't stop advertising that data scientist job on the web just yet. Continue Reading
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Opinion
19 Jul 2018
Reskilling the analytics team: Math, science and creativity
Technical skills are a must for data scientists. But to make analytics teams successful, they also need to think creatively, work in harmony and be good communicators. Continue Reading
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Feature
18 Jul 2018
AI for business operations starts to offer value
Businesses are starting to implement AI in operations to smooth out back-office processes and streamline repetitive tasks that currently take too much time for human workers. Continue Reading
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Answer
25 Apr 2018
Data scientist vs. business analyst: What's the difference?
Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there. Continue Reading