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Business
Trullion tackles applying AI to accounting workflows
Most of us do not consider accounting to be a separate line of business. But…
Lexmark looks to strengthen its IoT solution to remain competitive
Arguably, two of the most iconic examples of digital transformation are Kodak and Amazon. Kodak…
Trustworthy AI: How to ensure trust and ethics in AI
A pragmatic and direct approach to ethics and trust in artificial intelligence (AI) — who…
Andrew Ng predicts the next 10 years in AI
Did you ever feel you’ve had enough of your current line of work and wanted…
Aporia takes aim at ML observability, responsible AI and more
Is there a line connecting machine learning observability to explainability, leading to responsible AI? Aporia,…
Technical
JupiterOne scores $70M series C funding, achieves unicorn status
Cloud security solutions are experiencing increased “growth and adoption.” Cybersecurity platform JupiterOne is using graphs…
Resisting the urge to be impressed, knowing what we talk about when we talk about AI
A brief history of recent advances in AI, what they mean, and why you should…
Managing disaster and disruption with AI, one tree at a time
Ingesting loads of fine-grained data helps, but it’s not enough to make fine-grained predictions. You…
Could machine learning and operations research lift each other up?
Is deep learning really going to be able to do everything? Opinions on deep learning’s…
Wayve and Microsoft partner to scale autonomous vehicles
Circa 2017, there was a lot of hype around autonomous driving. If one were to…
Viable aims to quantify qualitative customer feedback with AI
There is an implicit assumption in most analytics solutions: The data analyzed and the insights…
Socio-Technical
AI ethics in the real world: FTC commissioner shows a path toward economic justice
FTC Commissioner Rebecca Kelly Slaughter lays out machine learning and AI’s potential for harm and…
Open-source software economics and community health analytics: Enter CHAOSS
Trying to capture the value open-source software generates can be a bit chaotic. The CHAOSS…
Open source AI stack is ready for its moment
Open source stacks enabled software to eat the world. Now several innovative companies are working…
Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond
A new interconnected ecosystem for research is shaping up, and machine learning is just the…
Getting there: Structured data, semantics, robotics, and the future of AI
Leveraging structure in data is key to making progress in AI, says AI prodigy Gary…
Rebooting AI: Deep learning, meet knowledge graphs
Gary Marcus, a prominent figure in AI, is on a mission to instill a breath…
Use Cases
Forget silicon – SQL on DNA is the next frontier for databases
A couple of years back, even researchers would wave off using DNA to store data…
Advancing human exploration: Is space the final frontier, and how can data and AI get us there?
Fifty years after the moon landing, it’s not just NASA working on what many consider…
Safety in data: Implementing data-driven road safety
Using data to improve road safety sounds like a good idea, but the devil is…
2019 will be another ‘Year of the Graph’: OpenCorporates is evidence No. 1
Graph databases are crossing the chasm to mainstream use cases, adding features such as machine…
Start the reskilling revolution without me: Future of Work trends and soft data on soft skills
As work is being redefined by automation as well as changing economy and social norms,…
Beyond experts: Jobs, tasks, and skills for a data driven Future of Work
Understanding and keeping track of the relationship between jobs, tasks and skills is essential for…