CIO
FEBRUARY 12, 2024
Artificial intelligence (AI) has a pivotal role to play. This can help to solve the problem of centralized data collection, which is otherwise an impractical approach to a diverse array of data sources, encompassing vehicles, factories, individuals and the environment, and countless other sensors. The answer?
The Crazy Programmer
DECEMBER 25, 2021
Artificial Intelligence is a science of making intelligent and smarter human-like machines that have sparked a debate on Human Intelligence Vs Artificial Intelligence. Will Human Intelligence face an existential crisis? Impacts of Artificial Intelligence on Future Jobs and Economy.
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CIO
APRIL 12, 2023
By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.
Xebia
JANUARY 11, 2024
Collective decision-making supported by artificial intelligence (AI) is the key to boosting performance. Both human and artificial intelligence play important roles. The post Artificial Intelligence for Leadership decision-making appeared first on Xebia. This makes decision-making harder.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.
CIO
SEPTEMBER 12, 2023
Others allow the use of Generative AI, with caution, and use Symantec’s DLP Cloud for real-time granular inspection of submitted data and remediation so that no confidential information is exposed. Our DLP Cloud has out-of-the-box templates that allow blocking of data across key regulatory categories, e.g., HIPAA, PCI, PII, etc.
CIO
MARCH 1, 2023
By Chet Kapoor, Chairman & CEO of DataStax Every business needs an artificial intelligence strategy, and the market has been validating this for years. They fail because data is served too slowly in complicated environments, making real-time actions almost impossible. More specifically, you need real-time data at scale.
Advertiser: Data Robot
In March 2020, the world was hit with an unprecedented crisis when the COVID-19 pandemic struck. As the disease tragically took more and more lives, policymakers were confronted with widely divergent predictions of how many more lives might be lost and the best ways to protect people.
Advertiser: Data Robot
You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. Brought to you by Data Robot. Aligning AI to your business objectives. Identifying good use cases. Building trust in AI.
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.
Advertiser: Data Robot
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). How can MLOps help data science teams, business leaders, and IT professionals build a resilient and scalable foundation for their AI initiatives? What are the core elements of an MLOps infrastructure?
Advertiser: Data Robot
While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning.
Advertiser: Data Robot
Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.
Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino
We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.
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