Unite.AI

SEPTEMBER 18, 2024

AI systems continuously learn and improve by analysing outcomes and adjusting their algorithms, ensuring the lead-scoring process remains accurate and relevant. For instance, AI models can be trained on positive and negative responses, helping sales representatives focus on more productive conversations.

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Towards AI

OCTOBER 3, 2024

Lifelong Learning Models: Research aims to develop models that can learn incrementally without forgetting previous knowledge, which is essential for applications in autonomous systems and robotics. – Stakeholder Resistance: There can be resistance from stakeholders who may not fully understand […]

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Unite.AI

OCTOBER 25, 2024

Gong Gong has established itself as a leading Revenue Intelligence platform and AI SDR, leveraging advanced AI technology specifically designed for revenue teams. The platform's sophisticated approach to sales intelligence is built on over 40 proprietary AI models, trained on billions of high-quality sales interactions.

Automation 147

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ODSC - Open Data Science

MARCH 5, 2025

Data Engineering: The infrastructure and pipeline work that supports AI and datascience. Data Management & Governance: Ensuring data quality, compliance, and security. Research & Project Management: Applying scientific methods and overseeing large-scale data initiatives.

Data Science 52

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Marktechpost

JUNE 16, 2024

The feature eliminates the need for data teams to manually manage maintenance operations, such as scheduling jobs, diagnosing failures, and managing infrastructure. Anker: The data engineering team at Anker reported a 2x improvement in query performance and 50% savings in storage costs after enabling Predictive Optimization.

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Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

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Unite.AI

JUNE 17, 2024

Rather than imposing AI solutions from the top down, organizations should engage workers in identifying areas where AI can assist them and designing the human-machine collaboration. This not only helps ensure that AI is augmenting in a way that benefits employees, but also fosters a culture of continuous learning and adaptability.

Automation 147

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Pickl AI

DECEMBER 16, 2024

This blog aims to help you navigate this growth by addressing key enablers of AI development. Key Takeaways Reliable, diverse, and preprocessed data is critical for accurate AI model training. GPUs, TPUs, and AI frameworks like TensorFlow drive computational efficiency and scalability.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 52

Snorkel AI

OCTOBER 4, 2023

Supercharge predictive modeling. Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Expand data points to paint a broader financial picture.

Data Scientist 64

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Bugra Akyildiz

MAY 25, 2024

Articles OpenAI has announced GPT-4o , their new flagship AI model that can reason across audio, vision, and text in real-time. The blog post acknowledges that while GPT-4o represents a significant step forward, all AI models including this one have limitations in terms of biases, hallucinations, and lack of true understanding.

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ODSC - Open Data Science

FEBRUARY 11, 2025

Chip Huyen outlined three approaches to evaluation: Functional Correctness: Assessing how well a model performs a specific task, such as generating accurate code or summaries. AI as a Judge: Using AI models to evaluate the outputs of other models, though this requires careful design to ensure reliability.

AI Engineer 52

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Snorkel AI

OCTOBER 4, 2023

Supercharge predictive modeling. Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Expand data points to paint a broader financial picture.

Data Scientist 59

Data Scientist AI Neural Network AI 59

Snorkel AI

OCTOBER 4, 2023

Supercharge predictive modeling. Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Expand data points to paint a broader financial picture.

Data Scientist 52

Data Scientist AI AI Neural Network 52

DataRobot Blog

DECEMBER 20, 2022

As discussed in the previous article , these challenges may include: Automating the data preprocessing workflow of complex and fragmented data. Monitoring models in production and continuously learning in an automated way, so being prepared for real estate market shifts or unexpected events.

Explainability 59

Explainability Automation Machine Learning Data Scientist 59

Unite.AI

NOVEMBER 21, 2024

In addition to maintaining data quality to provide accurate and unbiased outputs, we are committed to meeting high standards for security and sustainability. Our platform is built around the principles of responsible and mindful AI.

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