Pandata

04/18/2023

Are you interested in designing a generative AI model? 🤔 In a recent article, MIT Technology Review discusses the importance of responsible AI development and release.

From building diverse datasets to implementing fairness metrics, there are many steps you can take to ensure that your generative AI models are safe and unbiased. For anyone interested in building AI, this is a must-read. ☝️

Companies including OpenAI and TikTok have signed up to a new set of guidelines designed to help them be more transparent around generative AI.

04/17/2023

We are hiring for Data Science Consultant Level II. If you are passionate about:

➡️being part of a growing team of data science consultants that are a 'double threat' of both technical & consulting skills
➡️helping clients achieve their business transformation goals with machine learning and AI
➡️designing and building AI solutions that address fairness, privacy, explainability, and transparency, especially in high risk industries

We should talk! Learn more/apply here: https://hubs.li/Q01LJ2rS0

Data Science Consultant Level II (Remote) We design and develop practical AI applications that are human-centered, responsible, and explainable. We are a team of creative thinkers, relationship builders, and problem solvers from diverse backgrounds, both professionally and personally. Our high-perfo...

04/14/2023

The truth? AI overhype is dangerous.

☝️ It leads people to form unrealistic expectations about what AI can do—resulting in disappointment and loss of trust in the technology.

☝️ It can spread misinformation, making it harder for everyone to understand how AI works.

☝️ And putting too much emphasis on the development of AI should not come at the expense of other important areas like cybersecurity, privacy, and ethics.

We talk more about this in our next Voices of Trusted AI edition. 📬 Subscribe here before we hit send.

Subscribe for a single source of trusted artificial intelligence insight and resources, straight from data science experts.

04/13/2023

Generative AI models, like ChatGPT, have been making waves with its natural language processing capabilities. But, there have been concerns about offensive and harmful content being generated. OpenAI has taken steps to address these concerns including:

• Adding more diverse training data.
• Developing a toxicity filter.
• Implementing a human moderation team to review output.

However, these measures are not a complete solution to the challenges of developing safe and unbiased AI models. Here’s more. 👉

Plus: AI is dreaming up drugs that no one has ever seen. Now we’ve got to see if they work.

04/06/2023

There’s no doubt that AI can have a powerful effect on your business. But how can you ensure your strategy is ethical? We explore how Estée Lauder is accomplishing this in a recent blog post, including an expert's take by data science consultant, Merilys Huhn. ⬇️

Beauty mogul Estée Lauder incorporated ethical AI into its business strategy to drive product development and supply chain efficiency. Here’s how.

03/29/2023

Poor quality is a common bottleneck in the development of solutions.

To get ahead of this problem, Data Science Consultant Niki Agrawal recommends the following best practices:

✔️ Perform an audit to assess data quality and check for problems.

✔️ Remove irrelevant data and keep only the data that is reliable, essential and impactful to your business.

✔️ Decide on an approach to handle messy data and schedule automated data refreshes frequently.

✔️ Set up rules to ensure that data is standardized to the desired format and type.

✔️ Once data cleaning policies and protocols are set, validate the approach on a subset of the data to ensure that the outputs are consistent and match expectations.

If you found this helpful, consider subscribing to our Voices of Trusted AI email digest, where our data scientists answer top trustworthy AI questions each month! https://hubs.li/Q01DdNtV0

03/28/2023

The EU AI Act has spurred significant conversations among business leaders: How can we prepare for stricter AI regulations? How soon before similar regulation is passed in the US?

Read on as Cal Al-Dhubaib addresses this and more with AI News.

The pending EU AI Act will have major implications for organisations with AI systems. Here’s a look at what this regulation means for your company.

03/24/2023

☝️Model robustness refers to the ability of a machine learning model to maintain its performance and accuracy even when faced with unexpected data inputs.

In the last mile of AI, model robustness becomes increasingly critical.

🔗 In this ODSC article, Cal Al-Dhubaib explains why, and how companies can ensure their ML models remain effective in production.

We must understand what these AI models can and can’t do, and what risks they pose, so that we can develop meaningful ways to measure performance.

03/17/2023

As one of the most prominent leaders in AI, Andrew Ng has a wealth of experience and insight we can all learn from. 💡

In a recent VentureBeat interview, Ng shares his thoughts on today’s generative AI war, the technology’s future prospects, how to efficiently train AI/ML models, and the optimal approach for implementing AI.

🔗 Click here to read the full transcript. https://hubs.li/Q01DdCHG0

Andrew Ng, founder and CEO of Landing AI shares his wisdom about generative AI, supervised learning, deep learning and more.

03/16/2023

We are currently looking for Data Science Consultants - Level II. If you are interested in:

➡️joining a growing organization and team of data science consultants that have both technical and client facing experience
➡️working on cutting-edge AI projects and use cases; many in high risk industries
➡️having a path for growth and advancement
..we should talk! https://hubs.li/Q01GNBCj0 🐼

We are a AI design and development consultancy looking for growth-minded, client-facing data science talent

03/13/2023

Industry leaders and small startups alike are releasing new AI regulation and guidelines seemingly every day. As an organization building AI, which ones should you trust?

🔗 In this post, we offer helpful tips to navigate this new landscape. Click the link below to check it out!

With a number of organizations releasing their own responsible AI guidelines, how do you know which to follow? Here are a few tips to consider.