Unite.AI

SEPTEMBER 21, 2023

AI's real-time data analysis and decision-making capabilities expand blockchain’s authenticity, augmentation, and automation capabilities. For instance, Optimizing automation of supply chain processes by embedding AI in smart contracts. Addressing the challenges of AI ethics by ensuring the authenticity of data.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

IBM Journey to AI blog

DECEMBER 4, 2023

Generative AI could also help maintenance, repair and overhaul (MRO) technicians by enabling them to retrieve relevant information more effectively for repairs, or by automating the creation of parts and equipment orders so repair or maintenance can start as soon as a plane lands.

Generative AI 193

Generative AI AI AI Automation 193

IBM Journey to AI blog

NOVEMBER 14, 2023

The platform can be automated through a standardized framework validated for Financial Services, leveraging the IBM Cloud Security and Compliance Center service (SCC). This means developers can build and deploy their environments and code with industry-grade regulations in mind, ensuring data security and regulatory compliance.

DevOps 262

DevOps Automation Data Integration Generative AI 262

IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 175

Data Quality Data Integration Metadata Automation 175

IBM Journey to AI blog

JANUARY 15, 2024

But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity. Organizations undergoing digital transformations are likely to uncover wide swaths of manual work that can and should be automated.

Automation 199

Automation Machine Learning DevOps Artificial Intelligence 199

Unite.AI

OCTOBER 26, 2023

Sales engagement platforms have emerged as vital tools for sales teams, offering sophisticated functionalities to enhance interactions, automate processes, and drive sales. From email automation to advanced analytics, sales engagement platforms are redefining the way businesses interact with their potential and existing customers.

Automation 162

Automation Auto-complete Data Analysis Natural Language Processing 162

IBM Journey to AI blog

JUNE 12, 2023

Despite this solution’s ability to effectively ingest data and deliver insights to HR and other IBM business units, addressing data quality and reducing manual checks of the data, which can be labor-intensive and error-prone, remained a challenge. What is data quality? If so, what caused this spike?

Data Quality 175

Data Quality Automation Data Ingestion Data Platform 175

Pickl AI

FEBRUARY 4, 2024

Summary : Alteryx revolutionizes data analytics with its intuitive platform, empowering users to effortlessly clean, transform, and analyze vast datasets without coding expertise. The drag-and-drop interface of Alteryx Designer simplifies workflow creation, while automation features enhance efficiency. Alteryx’s core features 1.

ETL 52

ETL Automation Machine Learning Data Integration 52

Marktechpost

MAY 7, 2024

The rise of intelligent apps and agents highlights the importance of reliable and secure code interpreters to ensure efficient operations while maintaining data integrity and system security. Athena Intelligence leverages it to enhance AI systems and transform unstructured data into actionable insights.

AI 78

AI AI Python Artificial Intelligence 78

Pickl AI

OCTOBER 18, 2023

Automatic Data Capture: Streamlining Data Entry with AI AI has the remarkable ability to extract data without manual intervention, allowing employees to focus on more critical tasks, such as customer interactions. This is where AI and ML step in, revolutionizing the way organizations ensure data quality.

Data Quality 52

Data Quality ML Natural Language Processing Machine Learning 52

Aiiot Talk

MAY 25, 2023

7 Ways to Ensure Data Quality There are several ways to maintain data integrity while running your business. Following these objectives will help you stay on top of data collection and quality assurance. Keeping a close eye on incoming data is a proactive step companies can take toward data integrity.”

Data Quality 130

Data Quality Data Integration Robotics Artificial Intelligence 130

IBM Journey to AI blog

DECEMBER 16, 2022

After all, Alex may not be aware of all the data available to her. With a data catalog, Alex can discover data assets she may have never found otherwise. An enterprise data catalog automates the process of contextualizing data assets by using: Business metadata to describe an asset’s content and purpose.

Metadata 130

Metadata Data Quality Data Discovery Automation 130

IBM Journey to AI blog

MARCH 25, 2024

As described in the IBM Institute for Business Value study, an ad hoc “Frankenstein” like system that engages a variety of platforms and tools, can turn to a consolidated system and operating model to meet the increasing demand for more and more data integration, content generation, and intelligent automation.

Generative AI 271

Generative AI AI AI AI Tools 271

ODSC - Open Data Science

SEPTEMBER 27, 2023

They excel at managing structured data and supporting ACID (Atomicity, Consistency, Isolation, Durability) transactions. Scalability: Relational databases can scale vertically by upgrading hardware, but horizontal scaling can be more challenging due to the need to maintain data integrity and relationships.

Big Data 98

Big Data Metadata ETL Business Intelligence 98

IBM Journey to AI blog

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Taking an inventory of existing data assets and mapping current data flows. As previously mentioned, a data fabric is one such architecture.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Pickl AI

APRIL 14, 2023

Relying on a credible Data Governance platform is paramount to seamlessly implementing Data Governance policies. These platforms are centralized and designed to manage data practices, facilitate collaboration among different stakeholders, and automate the Data Governance workflow. The same applies to data.

Data Platform 52

Data Platform Data Integration Automation Data Ingestion 52

Unite.AI

MARCH 5, 2024

This includes everything from enhancing the sophistication of phishing attacks to automating the discovery of vulnerabilities in software. Kirsten Nohl highlighted how AI is not just a target but also a participant in cyber warfare, being used to amplify the effects of attacks we're already familiar with.

AI 147

AI AI Large Language Models AI Developer 147

IBM Journey to AI blog

AUGUST 23, 2023

If you add in IBM data governance solutions, the top left will look a bit more like this: The data governance solution powered by IBM Knowledge Catalog offers several capabilities to help facilitate advanced data discovery, automated data quality and data protection. and watsonx.data.

Large Language Models 146

Large Language Models Data Discovery LLM AI 146

The MLOps Blog

MARCH 15, 2023

As the volume of data keeps increasing at an accelerated rate, these data tasks become arduous in no time leading to an extensive need for automation. This is what data processing pipelines do for you. Let’s understand how the other aspects of a data pipeline help the organization achieve its various objectives.

ETL 59

ETL Categorization Automation Data Integration 59

Snorkel AI

OCTOBER 18, 2023

The Snorkel advantage for claims processing Snorkel offers a data-centric AI framework that insurance providers can use to generate high-quality training data for ML models and create custom models to streamline claims processing.

BERT 64

BERT Large Language Models AI AI 64

IBM Journey to AI blog

JANUARY 12, 2024

Automated notetaking empowers students to focus and “be present in the moment” during classes, while interactive study materials and personalized chatbots encourage students to learn and explore topics in new and exciting ways.

AI 266

AI AI Natural Language Processing AI Modeling 266

Snorkel AI

OCTOBER 18, 2023

The Snorkel advantage for claims processing Snorkel offers a data-centric AI framework that insurance providers can use to generate high-quality training data for ML models and create custom models to streamline claims processing.

BERT 59

BERT Large Language Models AI AI 59

Pickl AI

JUNE 28, 2023

Here comes the role of Data Mining. Read this blog to know more about Data Integration in Data Mining, The process encompasses various techniques that help filter useful data from the resource. Moreover, data integration plays a crucial role in data mining.

Data Mining 52

Data Mining Data Integration ETL Data Quality 52

Pickl AI

AUGUST 31, 2023

These three main types of data profiling collectively provide a comprehensive understanding of the data’s structure, content, and relationships. Eventually, using a data profiler, you can analyse different databases and ensure that data meets the statistical standards and business rules.

ETL 52

ETL Data Quality Data Integration Metadata 52

Pickl AI

MARCH 10, 2023

The following blog will discuss the familiar Data Science challenges professionals face daily. It will focus on the challenges of Data Scientists, which include data cleaning, data integration, model selection, communication and choosing the right tools and techniques.

Data Scientist 52

Data Scientist Data Science Data Integration Auto-classification 52

IBM Journey to AI blog

JANUARY 26, 2024

This has changed the traditional on-site maintenance approach where personnel used to run to the data room to flip through the information; adopting the intelligent positioning of maintenance data through on-site scope helps promote transparency, standardize the maintenance management, and automate the maintenance method.

Auto-complete 204

Auto-complete Data Integration Automation AI 204

Topbots

OCTOBER 4, 2023

Illustration of how diffusion models are built by first adding noise to the dataset images and then training the model to extrapolate the missing information Both LLMs and diffusion models can achieve outstanding performance when trained on sufficiently large amounts of unlabeled data. Let’s take a closer look.

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

AWS Machine Learning Blog

AUGUST 4, 2023

With this capability, businesses can access their Salesforce data securely with a zero-copy approach using SageMaker and use SageMaker tools to build, train, and deploy AI models. The inference endpoints are connected with Data Cloud to drive predictions in real time.

Data Scientist 73

Data Scientist ML ETL AI 73

ODSC - Open Data Science

JUNE 19, 2023

These technologies include the following: Data governance and management  — It is crucial to have a solid data management system and governance practices to ensure data accuracy, consistency, and security. It is also important to establish data quality standards and strict access controls.

Big Data 96

Big Data ETL Artificial Intelligence Artificial Intelligence 96

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence ETL Continuous Learning Data Integration 52

Dlabs.ai

AUGUST 3, 2023

However, as time has passed, advancements in technology have offered us the potential to simplify and automate this process further. As a robust Infrastructure as Code (IaC) tool, Terraform enables automation, significantly streamlining your ML infrastructure management. And this is where Terraform comes into play.

ML 98

ML Automation Machine Learning Data Integration 98

Pickl AI

JANUARY 13, 2023

Data integration in different spectrums of life highlights its growing significance. It has become a driving force of transformation, and so a career in Data Science is flourishing. The role of Data Science is not just limited to the IT domain. It automates the task and also reduces errors if any.

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IBM Journey to AI blog

JULY 26, 2023

These tools provide a centralized platform for top-down and bottom-up budgeting creation, collaboration, scenario modeling, data integration, and reporting. They often come with advanced analytics capabilities, enabling organizations to make data-driven budgeting decisions.

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Pickl AI

OCTOBER 11, 2023

This process involves real-time monitoring and documentation to provide visibility on the data quality, thereby helping the organization detect and address data-related issues. Bigeye Its analytical prowess and data visualization capabilities will help Data Scientists make effective data-driven decision-making.

Data Quality 52

Data Quality Metadata Automation Data Integration 52

IBM Journey to AI blog

JUNE 26, 2023

From data integration and management to applying AI to its business process and planning, Yanfeng Auto has been actively co-creating with IBM technical and business experts to turn technologies to tangible business values.

Auto-classification 169

Auto-classification Automation Data Extraction AI 169

AWS Machine Learning Blog

MAY 1, 2024

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. Solution overview In this post, we use publicly available data, encompassing both unstructured and structured formats, to showcase our entirely automated chatbot system.

Chatbots 97

Chatbots Automation Machine Learning DevOps 97

Heartbeat

OCTOBER 23, 2023

Data scientists and machine learning engineers employ NLP techniques and text-mining algorithms to process and analyze this textual data. By extracting meaningful insights from unstructured clinical text, they can automate coding, identify adverse events, and assist in clinical decision-making.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52