AI News

MAY 20, 2024

Only a third of leaders confirmed that their businesses ensure the data used to train generative AI is diverse and unbiased. Furthermore, only 36% have set ethical guidelines, and 52% have established data privacy and security policies for generative AI applications. Want to learn more about AI and big data from industry leaders?

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Marktechpost

JUNE 30, 2024

They can automate repetitive tasks, offer intelligent suggestions, and facilitate collaboration among team members. The AI Workbook: AI workbooks combine the power of AI with traditional data analysis and management tools. Examples include V7 Go, Elicit Workbooks, Sheets, or Excel API integrations.

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Generative AI Chatbots Natural Language Processing Automation 118

Unite.AI

NOVEMBER 21, 2024

In fact, I often say within the team that GenAI-based copilots have essentially become integral members of our team, much like trusted wingmen. They support us by providing valuable insights, automating tasks and keeping us aligned with our strategic goals. They were facing scalability and accuracy issues with their manual approach.

DevOps 147

DevOps Automation Responsible AI Software Development 147

Unite.AI

OCTOBER 14, 2024

What are the primary challenges organizations face when implementing AI for unstructured data analysis, and how does Quantum help mitigate these challenges? Organizations must completely reimagine their approach to storage, as well as data and content management as a whole.

ML 195

ML Data Ingestion Data Analysis Machine Learning 195

Pickl AI

OCTOBER 10, 2024

Summary: Data transformation tools streamline data processing by automating the conversion of raw data into usable formats. These tools enhance efficiency, improve data quality, and support Advanced Analytics like Machine Learning. These tools automate the process, making it faster and more accurate.

ETL 52

ETL Data Quality Business Intelligence Big Data 52

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 242

Machine Learning Automation AI AI 242

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 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. Analytical requirements: Once the data has been brought onto a single platform, and the tools have been assembled into a pipeline, computational techniques must be deployed to interpret data.

Data Analysis 189

Data Analysis Data Scientist Explainable AI AI Strategy 189

Pickl AI

SEPTEMBER 5, 2024

Summary: Operations Analysts play a crucial role in enhancing organisational efficiency by analysing processes, implementing improvements, and leveraging data-driven insights. In 2024, they face emerging trends such as automation and agile methodologies, requiring a diverse skill set.

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Data Analysis Data Quality Automation Solutions Analyst 52

Unite.AI

SEPTEMBER 24, 2024

The company offers a comprehensive suite of tools designed to optimize various aspects of supply chain operations, from demand forecasting and inventory management to transportation and warehouse automation. The platform allows buyers and suppliers to conduct business on a single network, unifying and streamlining their supply chain strategy.

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AI Tools Natural Language Processing Machine Learning Artificial Intelligence 162

Marktechpost

JUNE 5, 2024

You can optimize your costs by using data profiling to find any problems with data quality and content. Fixing poor data quality might otherwise cost a lot of money. The 18 best data profiling tools are listed below. It comes with an Informatica Data Explorer function to meet your data profiling requirements.

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Data Quality Metadata Data Integration ETL 115

Marktechpost

JUNE 16, 2024

This new version enhances the data-focused authoring experience for data scientists, engineers, and SQL analysts. The updated Notebook experience features a sleek, modern interface and powerful new functionalities to simplify coding and data analysis.

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Data Ingestion Python Automation AI 121

Pickl AI

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget.

Data Analysis 52

Data Analysis Business Intelligence Big Data Artificial Intelligence 52

Pickl AI

OCTOBER 6, 2024

It is a crucial data integration process that involves moving data from multiple sources into a destination system, typically a data warehouse. This process enables organisations to consolidate their data for analysis and reporting, facilitating better decision-making. What is ELT?

ETL 52

ETL Data Quality Data Integration Big Data 52

Pickl AI

NOVEMBER 4, 2024

Data modelling is crucial for structuring data effectively. It reduces redundancy, improves data integrity, and facilitates easier access to data. Data Warehousing A data warehouse is a centralised repository that stores large volumes of structured and unstructured data from various sources.

Data Quality 52

Data Quality ETL Data Integration Machine Learning 52

Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. What is Descriptive Analytics?

Data Analysis 52

Data Analysis Machine Learning Automation Artificial Intelligence 52

Pickl AI

OCTOBER 10, 2024

Summary: This blog presents 15 advanced Excel interview questions designed to evaluate candidates’ expertise in data analysis, formula usage, and spreadsheet management. Topics include VLOOKUP vs. INDEX/MATCH, pivot tables, macros, and data validation. What are array formulas, and how do you use them?

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Data Analysis Explainability Automation Data Integration 52

Pickl AI

NOVEMBER 27, 2024

Introduction In today’s rapidly evolving Data Science landscape, using multiple programming languages has become essential for tackling complex challenges. Python excels in Machine Learning, automation, and data processing, while R shines in statistical analysis and visualisation. million by 2030.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

OCTOBER 18, 2023

Data serves as the backbone of informed decision-making, and the accuracy, consistency, and reliability of data directly impact an organization’s operations, strategy, and overall performance. Informed Decision-making High-quality data empowers organizations to make informed decisions with confidence.

Data Quality 52

Data Quality ML Machine Learning Natural Language Processing 52

Unite.AI

JUNE 26, 2024

By embracing the chat paradigm, we offer users a familiar experience for engaging with Max, allowing them to explore data and ask questions in their own words. Max automates complex analyses to deliver relevant, interactive answers and insights immediately. We never make copies of the data while it’s being analyzed.

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Data Analysis Automation Data Scientist Conversational AI 130

Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. Introduction RDBMS is the foundation for structured data management. Introduction RDBMS is the foundation for structured data management.

Data Integration 52

Data Integration Big Data Business Intelligence Machine Learning 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 83

AI AI Python Artificial Intelligence 83

Pickl AI

OCTOBER 2, 2024

Summary: Artificial Intelligence (AI) is revolutionising Genomic Analysis by enhancing accuracy, efficiency, and data integration. Despite challenges like data quality and ethical concerns, AI’s potential in genomics continues to grow, shaping the future of healthcare. How Does AI Improve Genomic Analysis?

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Neural Network Artificial Intelligence Artificial Intelligence Deep Learning 52

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

Pickl AI

OCTOBER 3, 2024

Businesses can automate tasks, personalise customer experiences, and make data-driven decisions quickly and cost-effectively. The core functionalities of no-code AI platforms include: Data Integration : Users can easily connect to various data sources without needing to understand the underlying code.

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Artificial Intelligence Artificial Intelligence Automation AI Tools 52

Pickl AI

AUGUST 27, 2024

Data collection can be as routine as logging patient information into an electronic medical record system or as specific as keeping a record of mosquito nets delivered to rural households. Secondary Data Analysis This involves analysing existing data from sources such as databases, archives, or previous studies.

Data Analysis 52

Data Analysis Data Integration Categorization Data Quality 52

Pickl AI

JULY 16, 2024

Summary: AIOps leverages AI and Machine Learning to automate IT tasks, identify anomalies, and predict problems. Enter AIOps, a revolutionary approach leveraging Artificial Intelligence (AI) to automate and optimize IT operations. By analyzing this data , it identifies patterns and anomalies that might escape human observation.

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Automation Machine Learning Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

NOVEMBER 12, 2024

Led by agricultural technology innovators, generative AI is the latest AI technology that helps agronomists and researchers have open-ended human-like interactions with computing applications to assist with a variety of tasks and automate historically manual processes.

Generative AI 101

Generative AI Prompt Engineering Prompt Engineer AI 101

Pickl AI

SEPTEMBER 11, 2024

Platform as a Service (PaaS) PaaS offerings provide a development environment for building, testing, and deploying Big Data applications. This layer includes tools and frameworks for data processing, such as Apache Hadoop, Apache Spark, and data integration tools.

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Big Data Data Integration Machine Learning Data Ingestion 52

Defined.ai blog

AUGUST 10, 2023

Businesses must understand how to implement AI in their analysis to reap the full benefits of this technology. In the following sections, we will explore how AI shapes the world of financial data analysis and address potential challenges and solutions. When it comes to financial data, AI shines brightly.

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Business Intelligence Data Analysis Neural Network AI 52

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

Pickl AI

JULY 25, 2024

Enhanced Data Utilisation Effective ingestion unlocks the full potential of data by making it available for advanced analytics, machine learning, and artificial intelligence applications, driving innovation and business growth. Data Ingestion Tools To facilitate the process, various tools and technologies are available.

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Data Ingestion ETL Data Quality Data Integration 52

Pickl AI

JUNE 16, 2024

Summary: Excel’s COUNT function efficiently tallies numeric entries, enhancing Data Analysis accuracy. Additionally, counting characters using formulas like LEN aids in text analysis. Mastering these count formulas in Excel is crucial for precise data management and boosting productivity in data-driven tasks.

Data Analysis 52

Data Analysis Data Quality Data Integration Automation 52

Pickl AI

APRIL 14, 2023

In addition, it also defines the framework wherein it is decided what action needs to be taken on certain data. And so, a company dealing in Big Data Analysis needs to follow stringent Data Governance policies. Relying on a credible Data Governance platform is paramount to seamlessly implementing Data Governance policies.

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Data Platform Data Integration Data Ingestion Automation 52

Pickl AI

SEPTEMBER 5, 2024

The Microsoft Certified: Azure Data Scientist Associate certification is highly recommended, as it focuses on the specific tools and techniques used within Azure. Additionally, enrolling in courses that cover Machine Learning, AI, and Data Analysis on Azure will further strengthen your expertise.

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Data Scientist Data Science Machine Learning Data Analysis 52

IBM Journey to AI blog

SEPTEMBER 4, 2024

Some of the world’s largest banks and financial institutions, such as PayPal, Ing and JP Morgan Chase, use it for real-time data analysis, financial fraud detection, risk management in banking operations, regulatory compliance, market analysis and more.

Big Data 147

Big Data Data Analysis Data Integration Automation 147

Marktechpost

JULY 23, 2023

The pay-per-use cloud-based data warehousing technologies are quick, effective, and highly scalable. Importance of Data Warehouse To meet the continuously shifting needs of business, modern data warehousing solutions automate the repetitive tasks of designing, developing, and putting in place a data warehouse architecture.

Machine Learning 52

Machine Learning ETL Big Data Data Integration 52