Analytics Vidhya

MAY 21, 2024

Initially limited to automating basic, repetitive tasks, traditional AI has grown to be an invaluable part of every industry. Although they enhance efficiency and productivity, conventional AI systems cannot handle complex decision-making and intricate workflows.

Analytics 318

Analytics Machine Learning Modeling 318

CIO Business Intelligence

JANUARY 7, 2025

Organizations will always be transforming , whether driven by growth opportunities, a pandemic forcing remote work, a recession prioritizing automation efficiencies, and now how agentic AI is transforming the future of work. 2025 will be the year when generative AI needs to generate value, says Louis Landry, CTO at Teradata.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. However, the rush to rebrand existing products with a DataOps message has created some marketplace confusion. Meta-Orchestration

Testing 304

Testing Machine Learning Consulting Data Science 304

O'Reilly on Data

MARCH 24, 2020

The importance of automating data preparation. Most of the conversation around AI automation involves automating machine learning models, a field known as AutoML. We also need to be talking about automation of all steps in the data science workflow/pipeline, including those at the start.

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

DataKitchen

FEBRUARY 20, 2025

It assesses your data, deploys production testing, monitors progress, and helps you build a constituency within your company for lasting change. Were thrilled to unveil TestGen Enterprise V3 , the latest evolution in Data Quality automation, featuring Data Quality Scoring. New Quality Dashboard & Score Explorer.

Data Quality 187

Data Quality Scorecard Testing Dashboards 187

Analytics Vidhya

APRIL 29, 2024

NOTEBOOKLM: Your AI thinking partner for productivity. HELP ME SCRIPT: Turn text into Google Home automation scripts. PROJECT IDX: Take your full-stack workflow to […] The post Here’s How You Can Easily Sign Up for Google Labs appeared first on Analytics Vidhya.

Analytics 319

Analytics Deep Learning Machine Learning Data Science 319

CIO Business Intelligence

JANUARY 21, 2025

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. Scale trusted workflows with agentic AI Appian, Atlassian, Cisco Collaboration, Forethought, IBM, Ivanti, Pega, Salesforce, SAP, ServiceNow, Tray.ai, Workday, Zoho, and others launched service-oriented AI agents in 2024.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

The evolution from basic task automation platforms to advanced task orchestration and management marks a milestone in the journey toward Intelligent Automation. Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. Integrated all-in-one platforms assemble many tools together, and can therefore provide a full solution to common workflows.

Data Science 364

Data Science Machine Learning Data Warehouse Deep Learning 364

CIO Business Intelligence

JANUARY 5, 2025

1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. Automation takes care of end-to-end processes while also providing a detailed audit trail. Reliability and security is paramount.

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

The Infor GenAI Assistant automates tasks and gets immediate answers to questions in context. The productivity gains from AI are more likely to be achieved initially through a steady stream of small hacks and initiatives that eliminate less productive and unproductive work rather than big bangs.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

CIO Business Intelligence

NOVEMBER 27, 2024

AI enhances organizational efficiency by automating repetitive tasks, allowing employees to focus on more strategic and creative responsibilities. It integrates AI into business processes, processes real-time data, and provides actionable insights to automate tasks, improve efficiency, and make data-driven decisions.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

NOVEMBER 1, 2024

Today, integrating AI into your workflow isn’t hypothetical, it’s MANDATORY. Deploying AI Many modern AI systems are capable of leveraging machine-to-machine connections to automate data ingestion and initiate responsive activity. This process, where both input and output of the model are automated, is known as AI deployment.

Recreation/Entertainment 119

Recreation/Entertainment Machine Learning Modeling Data Science 119

CIO Business Intelligence

MARCH 19, 2025

AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. The upgrade includes a library of pre-built skills and workflow integrations, support for Slack, and better reasoning abilities. followed a couple months later.

Software 143

Software Risk Enterprise Cost-Benefit 143

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. However, the concept is quite abstract.

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

FEBRUARY 4, 2025

They were new products, interfaces, and architectures to do the same thing we always did. Data and workflows lived, and still live, disparately within each domain. We automated. The same is true if youre in marketing, finance, product, sales, or business services. We automate our work. Everything is changingagain!

Digital Transformation 144

Digital Transformation Sales Optimization Enterprise 144

CIO Business Intelligence

OCTOBER 24, 2024

Forrester predicts 50% of businesses will enable the self-service help desk as the first contact touchpoint in 2025, noting that improvements such as digital employee experience-driven automated endpoint troubleshooting and enterprise service management formalizing workflows are expanding what self-service can do.

ROI 127

ROI Data-driven Enterprise Experimentation 127

DataKitchen

JANUARY 3, 2022

Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Instead of throwing people and budgets at problems, DataOps offers a way to utilize automation to systematize analytics workflows. In business analytics, fire-fighting and stress are common.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

JANUARY 13, 2025

In a world with thousands of categories, millions of products and hundreds of millions of consumers, when an individual walks into a virtual storefront, a company will be able to make remarkably specific predictions. But gone are the days where companies just automate a user interface.

Technology 133

Technology Interactive Cost-Benefit Testing 133

DataKitchen

SEPTEMBER 20, 2021

DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Lean DataOps delivers “ bang for the buck” by prioritizing activities that will most impact the productivity of the individual or team. Production DataOps. production). production).

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

NOVEMBER 19, 2024

Agents will play different roles as part of a complex workflow, automating tasks more efficiently. Kevin Weil, chief product officer at OpenAI, wants to make it possible to interact with AI in all the ways that you interact with another human being. It doesn’t just respond, it learns, adapts and takes actions of its own.

Testing 135

Testing Cost-Benefit Interactive ROI 135

DataKitchen

JANUARY 6, 2021

As data professionals, we know the value and impact of DataOps: streamlining analytics workflows, reducing errors, and improving data operations transparency. Gartner describes the time spent on “operational execution” execution as using the data team to implement and maintain production initiatives. If it can be wrong, test it.

Cost-Benefit 246

Cost-Benefit Testing Strategy Consulting 246

DataKitchen

SEPTEMBER 17, 2021

DataOps excels at the type of workflow automation that can coordinate interdependent domains, manage order-of-operations issues and handle inter-domain communication. It would be incredibly inefficient to build a data mesh without automation. Efficient workflows are an essential component of a successful data team initiative.

Testing 237

Testing Data Architecture Measurement Visualization 237

DataKitchen

NOVEMBER 29, 2021

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

CIO Business Intelligence

MARCH 4, 2025

With AI agents poised to take over significant portions of enterprise workflows, IT leaders will be faced with an increasingly complex challenge: managing them. Current state cloud tools and automation capabilities are insufficient to handle the dynamic agenting AI decision-making.

Management 119

Management IT Cost-Benefit Enterprise 119

O'Reilly on Data

JANUARY 17, 2023

Figuring out what kinds of problems are amenable to automation through code. Companies build or buy software to automate human labor, allowing them to eliminate existing jobs or help teams to accomplish more. Because if companies use code to automate business rules, they use ML/AI to automate decisions. Building Models.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

CIO Business Intelligence

OCTOBER 17, 2024

Organizations and vendors are already rolling out AI coding agents that enable developers to fully automate or offload many tasks, with more pilot programs and proofs-of-concept likely to be launched in 2025, says Philip Walsh, senior principal analyst in Gartner’s software engineering practice.

Software 141

Software Testing Experimentation Consulting 141

AWS Big Data

NOVEMBER 22, 2024

This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience. Now, with support for dbt Cloud, you can access a managed, cloud-based environment that automates and enhances your data transformation workflows.

Data Lake 103

Data Lake Data Warehouse Cost-Benefit Data Transformation 103

CIO Business Intelligence

DECEMBER 10, 2024

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. Many early gen AI wins have centered around productivity improvements.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

DECEMBER 30, 2024

Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. Its extremely good at reasoning through logic-types of problems, says Sheldon Monteiro, chief product officer at Publicis Sapient. Say a vendor releases a new software product.

Software 141

Software ROI Modeling Interactive 141

DataKitchen

JANUARY 25, 2022

DataOps improves the robustness, transparency and efficiency of data workflows through automation. For example, DataOps can be used to automate data integration. In data analytics, automated orchestrations can handle data operations, testing, observability, data integration and all manner of data pipelines.

Consulting 244

Consulting Testing Data Lake Data Quality 244

DataKitchen

NOVEMBER 4, 2021

It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. When we hear articulations like these, we recognize that they have neglected to pay attention to their processes and workflows. It’s too hard to change our IT data product. It is an on-demand world.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

CIO Business Intelligence

MARCH 25, 2025

Lack of automation: Database admins spend too much time on manual operating procedures that should be automated, including creating backups, administering privileges, syncing data across systems, or provisioning infrastructure. It also anonymizes all PII so the cloud-hosted chatbot cant be fed private information.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

AWS Big Data

DECEMBER 23, 2024

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that allows you to build and run production Kafka applications. MSK Replicator is a fully managed replication service that enables continuous, automated data replication between MSK clusters within the same Region or across different Regions.

Data-driven 97

Data-driven Management Risk Big Data 97

CIO Business Intelligence

MARCH 11, 2025

To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. The agents understand the consumers intent when they call, make educated decisions through complex reasoning and then take action, such as initiating a product exchange or ordering a replacement unit.

Enterprise 108

Enterprise Insurance Forecasting Optimization 108

DataKitchen

APRIL 28, 2021

Tools vendors are creating their own definitions of “data fabric” to promote their own product and solution offerings. The stoplights in data analytics are all of the obstacles that degrade productivity and agility: data errors, manual processes, impact review, lack of coordination, and general bureaucracy.

Statistics 246

Statistics Optimization Data Analytics Technology 246

AWS Big Data

JANUARY 9, 2025

Our experiments are based on real-world historical full order book data, provided by our partner CryptoStruct , and compare the trade-offs between these choices, focusing on performance, cost, and quant developer productivity. For simple append operations, both Parquet on Amazon S3 and Iceberg offer similar convenience and productivity.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111