AI News

SEPTEMBER 17, 2024

Privacy follows closely behind, with 64% of IT professionals urging for more robust rules to protect sensitive information. The survey uncovers a troubling lack of trust in data quality—a cornerstone of successful AI implementation. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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AI News

NOVEMBER 21, 2023

Addressing this gap will require a multi-faceted approach including grappling with issues related to data quality and ensuring that AI systems are built on reliable, unbiased, and representative datasets. Companies have struggled with data quality and data hygiene.

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Unite.AI

FEBRUARY 21, 2025

Akeneo is the product experience (PX) company and global leader in Product Information Management (PIM). How is AI transforming product information management (PIM) beyond just centralizing data? Akeneo is described as the “worlds first intelligent product cloud”what sets it apart from traditional PIM solutions?

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Unite.AI

JULY 19, 2024

That's an AI hallucination, where the AI fabricates incorrect information. The consequences of relying on inaccurate information can be severe for these industries. These tools help identify when AI makes up information or gives incorrect answers, even if they sound believable. This reduces the likelihood of hallucinations.

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Unite.AI

AUGUST 13, 2024

From virtual assistants like Siri and Alexa to advanced data analysis tools in finance and healthcare, AI's potential is vast. However, the effectiveness of these AI systems heavily relies on their ability to retrieve and generate accurate and relevant information. This is where BM42 comes into play.

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Unite.AI

NOVEMBER 11, 2024

Jumio’s industry-leading AI-powered platform has evolved to integrate continually advanced AI and machine learning algorithms to analyze biometric data more effectively. We anticipate the increasing use of synthetic data generation, which offers greater controllability, data privacy and a focus on data quality rather than quantity.

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Unite.AI

OCTOBER 12, 2023

You're talking about signals, whether it's audio, images or video; understanding how we communicate and what our senses perceive, and how to mathematically represent that information in a way that allows us to leverage that knowledge to create and improve technology. The vehicle for my PhD was the bandwidth extension of narrowband speech.

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Towards AI

NOVEMBER 6, 2024

This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. CatBoost is a powerful, gradient-boosting algorithm designed to handle categorical data effectively. But what if we could predict a student’s engagement level before they begin?

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IBM Journey to AI blog

MAY 8, 2023

Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality. Technological risk—security AI algorithms are the parameters that optimizes the training data that gives the AI its ability to give insights. Above all, put in a robust AI governance program.

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AWS Machine Learning Blog

JANUARY 28, 2025

Furthermore, evaluation processes are important not only for LLMs, but are becoming essential for assessing prompt template quality, input data quality, and ultimately, the entire application stack. Evaluation algorithm Computes evaluation metrics to model outputs. This allows you to keep track of your ML experiments.

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Marktechpost

JULY 7, 2024

Researchers from the University of Toronto present an insightful examination of the advanced algorithms used in modern ad and content recommendation systems. This survey examines these systems’ most effective retrieval algorithms, highlighting their underlying mechanisms and challenges.

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IBM Journey to AI blog

NOVEMBER 29, 2023

Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qualitative and includes text, images, and video. Exploring “what-if” scenarios or new business events using synthetic data synthesized from agent-based simulations.

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Unite.AI

MAY 23, 2024

For example, leveraging AI to create a more robust and effective product recommendation and personalization engine requires connecting user data from a CRM and sourcing product data from a Product Information Management (PIM) system.

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IBM Journey to AI blog

JANUARY 9, 2024

Challenges in rectifying biased data: If the data is biased from the beginning, “ the only way to retroactively remove a portion of that data is by retraining the algorithm from scratch.” This may also entail working with new data through methods like web scraping or uploading.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

” For example, synthetic data represents a promising way to address the data crisis. This data is created algorithmically to mimic the characteristics of real-world data and can serve as an alternative or supplement to it. In this context, data quality often outweighs quantity.

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Unite.AI

SEPTEMBER 26, 2023

Data Quality and Availability AI models heavily depend on data to function effectively. If businesses don't provide clean, structured and comprehensive data, these models can produce inaccurate results, leading the system to make erroneous predictions.

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Pickl AI

JANUARY 19, 2025

Data warehousing focuses on storing and organizing data for easy access, while data mining extracts valuable insights from that data. Together, they empower organisations to leverage information for strategic decision-making and improved business outcomes. What is Data Warehousing?

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Unite.AI

FEBRUARY 17, 2025

But applications combining predictive, generative, and soon agentic AI with specialized vertical knowledge sources and workflows can pull information from disparate sources enterprise-wide, speed and automate repetitive tasks, and make recommendations for high-impact actions.

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Unite.AI

OCTOBER 17, 2023

Because its segmentation process is run only by data, we can then learn about customer segments that we hadn’t thought about, and this uncovers unique information about our customers. In those cases, a traditional approach run by humans can work better, especially if you mainly have qualitative data.

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Pickl AI

FEBRUARY 17, 2025

Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data. However, once deployed in a real-world setting, its performance plummeted due to data quality issues and unforeseen biases.

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Pickl AI

OCTOBER 19, 2023

Data quality plays a significant role in helping organizations strategize their policies that can keep them ahead of the crowd. Hence, companies need to adopt the right strategies that can help them filter the relevant data from the unwanted ones and get accurate and precise output.

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Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

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Unite.AI

SEPTEMBER 18, 2024

AI can analyse vast amounts of data to identify high-potential leads, assess their readiness to buy, and prioritise them accordingly – an approach known as lead scoring. AI-driven lead scoring systems use algorithms to evaluate the likelihood that a lead will convert based on behaviour, demographics, and interactions.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

For example, you can use Amazon Bedrock Guardrails to filter out harmful user inputs and toxic model outputs, redact by either blocking or masking sensitive information from user inputs and model outputs, or help prevent your application from responding to unsafe or undesired topics.

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Unite.AI

JANUARY 20, 2025

Can you explain how datma.FED utilizes AI to revolutionize healthcare data sharing and analysis? datma enables healthcare organizations to monetize their data by creating a secure data-sharing ecosystem where healthcare organizations retain full ownership and control.

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Unite.AI

SEPTEMBER 12, 2024

Traditionally, AI research and development have focused on refining models, enhancing algorithms, optimizing architectures, and increasing computational power to advance the frontiers of machine learning. However, a noticeable shift is occurring in how experts approach AI development, centered around Data-Centric AI.

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IBM Journey to AI blog

APRIL 25, 2024

Most consumers believe that the world is changing too quickly; over half think business leaders are lying to them , purposely trying to mislead people by grossly exaggerating or providing information they know is false. And, in of 2024, brand awareness means little without trust.

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making. These insights?

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Snorkel AI

MARCH 4, 2025

These preferences are then used to train a reward model , which predicts the quality of new outputs. Finally, the reward model guides the LLMs behavior using reinforcement learning algorithms, such as Proximal Policy Optimization (PPO). Instead, DPO trains the LLM directly on human preference data. Sign up here!

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Unite.AI

MARCH 4, 2024

Knowledge workers use their specialized skills, expertise, and creativity to generate, process, and communicate information. Knowledge workers are confused regarding AI due to exposure to conflicting and contradictory information and uncertainty about its impact on their professional lives. Why Are Knowledge Workers Confused About AI?

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Towards AI

OCTOBER 3, 2024

Yet, despite these advancements, AI still faces significant limitations — particularly in adaptability, energy consumption, and the ability to learn from new situations without forgetting old information. Mimicking the brain’s neuron firing mechanism, SNNs process information only when spikes occur, leading to energy-efficient computations.

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Pickl AI

JANUARY 12, 2025

A generative AI company exemplifies this by offering solutions that enable businesses to streamline operations, personalise customer experiences, and optimise workflows through advanced algorithms. Data forms the backbone of AI systems, feeding into the core input for machine learning algorithms to generate their predictions and insights.

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Pickl AI

MARCH 24, 2025

Understanding Adaptive Machine Learning Adaptive Machine Learning represents a significant evolution in how machines learn from data. Unlike traditional Machine Learning, which often relies on static models trained on fixed datasets, adaptive Machine Learning continuously updates its algorithm s based on incoming data streams.

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Aiiot Talk

APRIL 30, 2024

AI and ML are augmenting human capabilities and advanced data analysis, paving the way for safer and more reliable NDT processes in the following ways. Using AI to Enhance Pattern Recognition Advanced AI algorithms trained on large enough datasets can find various patterns and provide detailed insights into the condition of materials.

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IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

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Marktechpost

OCTOBER 11, 2024

Information Retrieval (IR) systems for search and recommendations often utilize Learning-to-Rank (LTR) solutions to prioritize relevant items for user queries. These models heavily depend on user interaction features, such as clicks and engagement data, which are highly effective for ranking.

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ODSC - Open Data Science

NOVEMBER 29, 2024

As organizations amass vast amounts of information, the need for effective management and security measures becomes paramount. Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security.

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