Unite.AI

OCTOBER 4, 2023

Hence, it is vital to rapidly minimize issues present in Generative AI technologies. Several key strategies can be implemented to reduce bias in AI models. Some of these are: Ensure Data Quality: Ingesting complete, accurate, and clean data into an AI model can help reduce bias and produce more accurate results.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

.” “When we think about applications of AI to solve real business problems, what we find is that these specialty models are becoming more important,” says Brent Smolinksi, IBM’s Global Head of Tech, Data and AI Strategy. In this context, data quality often outweighs quantity.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Monitoring – Continuous surveillance completes checks for drifts related to data quality, model quality, and feature attribution. Workflow A corresponds to preprocessing, data quality and feature attribution drift checks, inference, and postprocessing. Workflow B corresponds to model quality drift checks.

Machine Learning 138

Machine Learning DevOps Data Scientist Data Quality 138

Unite.AI

MARCH 6, 2024

Criteria for an Effective AI Strategy The benefits and transformative power of AI are well documented, but that doesn’t mean organizations should load every AI-powered solution they can find into their shopping carts.

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Unite.AI

MARCH 14, 2024

The demand for high-quality training data is intensifying , with 66% of respondents anticipating an increase in their training data needs over the next two to five years. This underscores the critical role of data in training more sophisticated and accurate AI models.

Computer Vision 124

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IBM Journey to AI blog

AUGUST 12, 2024

Compliance with these regulations involves providing clear explanations of AI model decisions, ensuring data privacy, and implementing safeguards against biases and discriminatory practices. Financial institutions must stay informed about evolving regulatory requirements and adapt their AI strategies accordingly.

Automation 159

Automation Generative AI AI AI 159

Unite.AI

JUNE 17, 2024

For organizations to ensure that AI augments rather than replaces human workers, they need to take a human-centric approach to AI implementation. This means putting people at the heart of their AI strategies and focusing on how the technology can empower and enhance human capabilities. One key aspect is job design.

Automation 147

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ODSC - Open Data Science

FEBRUARY 28, 2023

Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery. Bigeye’s data observability platform helps data science teams “measure, improve, and communicate data quality at any scale.”

Data Science 96

Data Science Auto-complete Machine Learning AI 96

ODSC - Open Data Science

JANUARY 2, 2024

Join us in the city of Boston on April 24th for a full day of talks on a wide range of topics, including Data Engineering, Machine Learning, Cloud Data Services, Big Data Services, Data Pipelines and Integration, Monitoring and Management, Data Quality and Governance, and Data Exploration.

Data Science 52

Data Science Large Language Models Big Data Data Quality 52

ODSC - Open Data Science

OCTOBER 21, 2024

“Day Two” Problems: 5 Hidden Hurdles to GenAI Success and How to Overcome Them Lior Gavish, CTO and Co-Founder of Monte Carlo, addresses the critical operational aspects of rolling out generative AI projects. This talk focuses on the often-overlooked processes related to compliance, quality, and scale.

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Defined.ai blog

AUGUST 23, 2023

AI and data analysis skill gaps within organizations can also hinder progress. To tackle this, businesses can consider upskilling existing employees or hiring AI specialists. On an organizational level, resistance to change or lack of a clear AI strategy can stall initiatives.

Machine Learning 52

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Flipboard

FEBRUARY 12, 2025

This will only worsen, and companies must learn to adapt their models to unique, content-rich data sources. Model improvements in the future wont come from brute force and more data; they will come from better data quality, more context, and the refinement of underlying techniques.

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AI AI Robotics Automation 65

Pickl AI

NOVEMBER 3, 2023

To find trends and patterns traders are now actively using trading and AI strategies like statistical analysis, indicators, and chart patterns. This demonstrated the revolutionary potential of AI in forex trading. Click here to know more about how one can unleash the power of AI and ML for scaling operations and data quality.

Artificial Intelligence 52

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Wisdom Works

JUNE 17, 2021

The data may be incomplete, with data quality issues or even missing data that is needed for the success of the model. This will have knock-on implications that add pressure onto the project to solve these issues before the solution can be delivered.

Machine Learning 52

Machine Learning AI AI Data Science 52

Wisdom Works

JUNE 17, 2021

The data may be incomplete, with data quality issues or even missing data that is needed for the success of the model. This will have knock-on implications that add pressure onto the project to solve these issues before the solution can be delivered.

Machine Learning 52

Machine Learning AI AI Data Science 52

Unite.AI

MARCH 17, 2025

This type of siloed thinking leads to data redundancy and slower data-retrieval speeds, so companies need to prioritize cross-functional communications and collaboration from the beginning. Here are four best practices to help future-proof your data strategy: 1.

AI Strategy 202

AI Strategy Data Quality AI AI 202

Unite.AI

MAY 21, 2024

An additional 79% claim new business analysis requirements take too long to be implemented by their data teams. Other factors hindering widespread AI adoption include the lack of an implementation strategy, poor data quality, insufficient data volumes and integration with existing systems.

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Software Development Business Intelligence ETL Data Quality 162

Unite.AI

NOVEMBER 26, 2024

AI-powered cancer tests that support clinical decision-making for doctors and their patients at every step of the cancer journey – from screening and detection, to identifying the right treatment, and for monitoring patients’ response to interventions and predicting recurrence.

Algorithm 306

Algorithm AI Strategy Big Data AI Tools 306

Unite.AI

NOVEMBER 21, 2024

How does LTIMindtree’s AI platform address concerns around AI ethics, security, and sustainability? As we continue to roll out new AI tools and platforms, we must ensure they meet our standards and regulations around the technology’s use. Our platform is built around the principles of responsible and mindful AI.

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DevOps Automation Responsible AI Software Development 147

Pickl AI

DECEMBER 17, 2024

From virtual assistants like Siri and Alexa to recommendation algorithms on platforms like Netflix, we interact with AI regularly without even realising it. Data Quality Matters While many believe that more data leads to better AI performance, the reality is that quality matters more than quantity.

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