Verta

Baasit Sharief  •  Aug 8, 2023

3 Documentation Horror Stories and How to Avoid Them

We have all heard model documentation horror stories. Here's my “hall of shame” stories also that highlight ways to avoid the pitfalls of poor documentation.

Andy Butkovic  •  Jul 24, 2023

Everyone Hates Model Documentation. Verta Is Changing That.

AI Assisted Model Documentation in Verta Model Catalog lets ML scientists easily create accurate and detailed model documentation in minutes, not hours.

Manasi Vartak  •  Jul 12, 2023

AI Regulations Are Here, and Companies Are Not Prepared

AI leaders (more than 300) answers in Verta's survey suggest that most companies are not prepared to meet the requirements in current & pending AI regulations.

Rory King  •  Jun 29, 2023

AI Regulations Are an Opportunity, So Don't Just Check the Compliance Box

Organizations can view upcoming regulations for AI as a cost to be endured, or as an opportunity to gain competitive advantage. We’ve seen this movie before.

Andy Reese  •  Jun 26, 2023

Enterprises Too Optimistic about Ability to Meet New Regulations

Companies prioritize AI compliance as they see AI regulations increasing, but few have automated processes that will be key to meeting new requirements

Andy Reese  •  Jun 20, 2023

As EU AI Act Advances, Data Science Teams Face Compliance Conundrum

Data science teams face the conundrum as the EU AI Act advances. The act’s provisions are at odds with current data science practices in key ways.

Conrado Silva Miranda  •  Jun 14, 2023

AWS US-East-1 Goes Down Again, and People Scream “Multi-Region!” - A Rant

AWS US-East-1 had issues Tuesday, bringing down a lot of the internet. The usual response: People scream, 'Multi-regions!' But that's hard to implement.

Andy Reese  •  Jun 8, 2023

Successful Organizations Prioritizing AI Regulatory Compliance

AI regulations priority becomes the key: executives at successful organizations are placing it higher than their counterparts at less successful companies.

Andy Butkovic  •  Jun 6, 2023

Enter the Tracking: Better Manage External Model Deployments

Track external deployments for all your ML models to better manage and govern your ML assets, improve collaboration and mitigate security risks. Here's how.

Rory King  •  Jun 2, 2023

3 Lessons to Avoid Becoming AI’s Regulatory Cautionary Tale

AI case: with AI regulations on the horizon, CEOs and AI leaders can apply past lessons from complying with environmental regulation to today's decision-making.

Andy Butkovic  •  May 31, 2023

Use Custom Attributes to Capture Model Metadata to Manage & Track Your Models

Tagging ML models with custom attributes in Model Catalog helps harness the potential of models while promoting efficiency, governance and collaboration.

Rory King  •  May 25, 2023

Blood Minerals’ Legacy and Apple’s Lessons for Executives Embracing Responsible AI Regulations

AI transpanency is the key: Apple’s example in addressing the blood minerals issue offers valuable lessons for organizations facing impending AI regulations.

Rory King  •  May 23, 2023

5 Easy Steps for Prompt Engineering with Large Language Models (LLMs)

Prompt engineering with large language models is an iterative process, so experiment and iterate to fine-tune the prompt. Here are 5 steps to simplicity.

Manasi Vartak  •  May 18, 2023

5 Signs You Need a Model Catalog

Enterprises are adopting model management techniques and model catalogs as part of their journey toward Operational Excellence in AI and machine learning.

Andy Butkovic  •  May 15, 2023

The Value of Maintaining Model Activity Logs

Activity logs an indispensable component of model lifecycle management due to Responsible AI and regulatory compliance. Learn why you should maintain them.

Andy Butkovic  •  May 11, 2023

Top 3 Benefits of Implementing a Machine Learning Model Catalog

Unlock the power of a machine learning model catalog: learn the top 3 benefits which implementing it brings to your organization’s data-driven journey.

Andy Butkovic  •  May 5, 2023

Model Release Management Made Easy with a Model Catalog

Model release becomes easy with a model catalog and release checklists letting organizations streamline the process and ensure models are put into production

Rory King  •  May 1, 2023

With EU AI Act, History Repeats, and Leaders Gain Advantage from MLM

EU AI Act gives the first-mover competitive advantage. Early adopters of Model Lifecycle Management today stand to see it, as when PLM systems were adopted.

Rory King  •  Apr 27, 2023

US Agencies Reaffirm: No AI Exception to Consumer Protection Laws

AI Tools need to be compliant with joint statement on enforcing laws against discrimination and bias in automated decision-making systems using ML & AI.

Baasit Sharief  •  Apr 21, 2023

The Five Principles of Responsible AI – and How to Apply Them

AI Accountability, AI Fairness, AI Transparency, AI Privacy, and AI Safety are the five principles of Responsible AI. Learn more about each in Verta's blog.

Rory King  •  Apr 13, 2023

Amidst Ongoing Tech Layoffs, AI/ML Talent Continues to Be in Demand

AI/ML Technology Investment Priorities research conducted by Verta finds that AI/ML talent continues to be in demand as companies expand use of machine learning

Baasit Sharief  •  Apr 6, 2023

Five Steps to Responsible AI

Responsible AI concepts have been gaining traction in technology for several years — here's five steps that companies can take to adopt Responsible AI.

Rory King  •  Apr 4, 2023

Key Drivers of AI/ML Investments Differ for Leading and Lagging Performers

Top factos driving ML & AI investment & spending decisions include changes in business strategy, cloud migration and modernization, and cost pressures.

Rory King  •  Mar 28, 2023

Majority of Organizations Increasing Infra Investments to Support AI/ML Initiatives

Learn how increasing ML infra investments make hybrid, multi-cloud approach the default technology strategy for many organizations in their AI/ML Initiatives.

Rory King  •  Mar 21, 2023

Companies Continue to Push AI/ML Investments

Investment in AI and ML technology and talent continues to grow and is proving resilient to economic headwinds. Read the blog to learn more about the trend

Meeta Dash  •  Nov 15, 2022

How Verta Supports AI Trust, Risk and Security Management

AI TRiSM (AI trust, risk and security management) practices are consistently supported by he Verta Operational AI platform & Enterprise Model Management system.

Manasi Vartak  •  Nov 8, 2022

Key Enterprise Technology Trends Impacting ML Infrastructure Today

ML infrastructure has five themes in enterprise technology and machine learning - resiliency, risk, real time and other key trends. Read more for details.

Andy Butkovic  •  Oct 17, 2022

Model Catalog part 2: A Deeper Dive

Read for a deeper dive into the model version information contained in Model Catalog — deploy, version, integrate, and reproduce models quickly and safely.

Andy Reese  •  Oct 7, 2022

Blueprint for an AI Bill of Rights

The White House Office of Science & Technology Policy issues the AI Bill of Rights for the design & use of automated systems, with the goal to protect the public

Andy Butkovic  •  Sep 30, 2022

The Model Catalog: Your AI/ML Command Center

The Verta Model Catalog ia a single source of truth & command center for all your organization’s machine learning assets. Harness the potential of models now.

Rory King  •  Jul 28, 2022

Ready for New AI Regulations?

News in AI legislation: American Data Privacy and Protection Act (ADPPA) bill pending in Congress creates new risks, liabilities for companies using AI/ML.

Manasi Vartak  •  Jul 11, 2022

Using CI/CD to Bring Models to Production: More Notes from Data+AI Summit 2022

See examples of applying CI/CD pipeline to ML models and how to take a software delivery pipeline and convert it to a machine learning delivery pipeline.

Manasi Vartak  •  Jul 8, 2022

Operationalization, Model Catalogs, and an EHR for Models at Data+AI Summit

Learn about model operationalization and model catalogues, the greater focus on them, full lifecycle model management, and the need for an EHR for models.

Mickayla Williams  •  Jun 8, 2022

Verta is officially recognized as 2022 Gartner® Cool Vendor in AI Core Technologies

Verta is announced as AI Core Cool Vendor being included in the list of Cool Vendors in AI Core Technologies — Scaling AI in the Enterprise by Gartner.

Andy Butkovic  •  May 17, 2022

Simplifying Tensorflow Model Deployment with Verta

Tensforflow model users, we know your preferences, so we'll walk through the simple steps to getting your Tensorflow models into production seamlessly.

Andy Butkovic  •  May 3, 2022

Improve Security of AI Models with Vulnerability Detection

AI vulnerability scanner helps improve AI Model Security: Verta offers vulnerability scanning throughout the ML model lifecycle for faster and secure deployment

Andy Butkovic  •  Apr 28, 2022

Introducing Verta Model Deployment

We’ll show you how to deploy a model on Verta, with a focus on how to run a TensorFlow model with MNIST data. Introducing Verta's Model Deployment.

Meeta Dash  •  Apr 22, 2022

What’s New in Verta Experiment Manager

Verta Experiment Manager enables data scientists organize modeling experiments, visualize experimental data, metrics, hyperparameters, model quality, and data samples.

Parna Sarkar-Basu  •  Apr 19, 2022

Manasi Vartak: Operationalizing AI. Empowering Data Scientists.

In this interview on Operationalizing AI, Manasi opens up about entrepreneurship and launching her startup to empowering data scientists and plans for the future

Meeta Dash  •  Apr 14, 2022

Extending ML Observability with Verta & Datadog Integration

Verta & Datalog integration allows you to send endpoint metrics from Verta to Datadog where you can monitor ML endpoint states, utilization, and resources.

Meeta Dash  •  Apr 7, 2022

Verta and PyPI Integration

PyPI repository integration is now available on the Verta platform. Safely scale the use of your favorite trusted Python libraries to your data science team.

Andy Butkovic  •  Mar 16, 2022

Why I Joined Verta

Get to know Verta's newest Senior Product Manager as Andy shares what excites her about AI/ML and why she joined Verta.

Manasi Vartak  •  Mar 10, 2022

What is a Model Catalog?

So what is a model catalog? This post dives into the question by sharing its benefits and how it differentiates itself from a model registry.

Michael Butt  •  Feb 24, 2022

Is MLOps Just For Operationalization?

ML operationalization causes a lot of conversation whether or not it’s just about operationalization. The short answer: no. But there’s more to it than that.