Collibra

JULY 13, 2023

In the “old AI” world, you would carefully curate a good data asset, and then train that into a model that could churn out smart, automated business decisions. In other words, the data came first. But the model would only know what it was told, and the data domain would typically be a specialized, niche area of your business.

Government 95

Government Data science Artificial Intelligence Analytics 95

IT Governance

NOVEMBER 18, 2021

The event programme includes keynote presentations and technical workshops aimed at business leaders, IT professionals, HR/training managers and students. This pipeline should include hiring and training new staff who may not have a STEM (science, technology, engineering and maths) background and developing existing employees’ skills.

Data science 111

Data science Cloud Government IT 111

IBM Big Data Hub

NOVEMBER 29, 2023

With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. But Downer envisioned a partnership that would allow them to delve deeper into the data, unearthing more insights that could add value to operations. Collaborators at Downer report high levels of satisfaction with the partnership.

Data science 68

Data science Analytics Cloud IT 68

IBM Big Data Hub

FEBRUARY 13, 2024

While advanced models can handle diverse data types, some excel at specific tasks, like text generation, information summary or image creation. The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial.

Artificial Intelligence 121

Artificial Intelligence Marketing Sales Communications 121

IBM Big Data Hub

NOVEMBER 29, 2023

They are already identifying and exploring several real-life use cases for synthetic data, such as: Generating synthetic tabular data to increase sample size and edge cases. You can combine this data with real datasets to improve AI model training and predictive accuracy. This is partially true for synthetic data.

Privacy 85

Privacy Data Privacy Artificial Intelligence Risk 85

Information Management Resources

MAY 1, 2019

The effort is part of a company-wide initiative to teach employees skills to incorporate models and data science into everyday workflow.

Data science 31

Data science IT 31

IBM Big Data Hub

OCTOBER 16, 2023

Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces. Training data bias AI systems learn to make decisions based on training data, so it is essential to assess datasets for the presence of bias. Bias can also result from how the training data is labeled.

Artificial Intelligence 73

Artificial Intelligence Government Data science Data collection 73

IBM Big Data Hub

SEPTEMBER 20, 2022

Do you understand bias that exists in the data, and do you have the right guardrails to use that data for building and training models? Automated, integrated data science tools help build, deploy, and monitor AI models. It’s not just about granting proper access to data science teams.

Data science 57

Data science Metadata Government Access 57

Collibra

JUNE 2, 2022

Since AI relies heavily on data, the integrity and quality of the underlying data upon which AI models are trained is critical to ensure accuracy and remove the risk of model bias and opacity. Training data can fast become a problem without proper controls in place.

Government 52

Government Cloud Data science Metadata 52

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Government 74

Government Risk Artificial Intelligence Metadata 74

Data Protection Report

APRIL 27, 2023

The key difference between OpenAI’s models and other ANNs is the vast size of GPT-3 and GPT-4’s training corpus and the special mathematical features of the individual ANN nodes called “transformers” that make them particularly adept at analyzing and generating language. Training data IP infringements.

Risk 97

Risk Personal data Privacy Data Privacy 97

eSecurity Planet

DECEMBER 15, 2022

Unlike most other AI research projects, ChatGPT has captivated the interest of ordinary people who do not have PhDs in data science. It leverages sophisticated deep learning systems to create content and is trained on enormous amounts of publicly available online text like Wikipedia. The answers are often succinct.

Cybersecurity 136

Cybersecurity Phishing Data science Blockchain 136

AIIM

MAY 17, 2018

This past year we worked with AIIM to develop a training course that provides fundamental teaching on how machine learning and AI actually work — the different methods used, the limitations of each approach, and some key guidance on how to steer your way through the burgeoning AI landscape.

Artificial Intelligence 91

Artificial Intelligence Access Data science IT 91

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data 69

Unstructured data Artificial Intelligence Sales Manufacturing 69

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

MAY 8, 2023

For example, feeding a generative AI system such as Chat GPT with corporate data to produce a summary of confidential corporate research would mean that a data footprint would be indelibly left on the external cloud server of the AI and accessible to queries from competitors. Efficient and accurate AI requires fastidious data science.

Insurance 70

Insurance Risk Artificial Intelligence Government 70

IBM Big Data Hub

AUGUST 15, 2022

Sometimes as data scientists, we are often so determined to build a perfect model that we can unintentionally include human bias into our models. Often the bias creeps in through training data and then is amplified and embedded in the model.

Mining 62

Mining Data science Risk IT 62

IBM Big Data Hub

NOVEMBER 30, 2022

So, it’s crucial for companies that want to add specific AI capabilities to their applications or workflows to do so without expanding their technology stack, hiring more data science talent, or investing in expensive supercomputing resources.

Libraries 87

Libraries Data science Cloud Mining 87

IBM Big Data Hub

FEBRUARY 10, 2022

As someone who is passionate about data science, I know from firsthand that our model is only as good as the data we feed it. On that note, one thing I’ve learnt from working on this project is that we need better data sets that can help us train the machine learning (ML) models that underpin these systems.

Artificial Intelligence 54

Artificial Intelligence Data science IT Access 54

Collibra

DECEMBER 19, 2023

Targeted Training Programs: Develop training programs tailored to various roles within the organization. Your AI roadmap should be comprehensive, covering the integration of AI governance into existing processes, fostering a culture of understanding and adoption, and continuously evolving with the advancements in AI and data science.

Government 52

Government Risk Compliance Privacy 52

IBM Big Data Hub

SEPTEMBER 27, 2022

We believe that data policies should be fair and equitable and prioritize openness. Companies must be clear about who trains their AI systems, what data was used in training and, most importantly, what went into their algorithms’ recommendations. Technology must be transparent and explainable.

Government 52

Government Compliance Data science Financial Services 52

erwin

APRIL 15, 2020

On a business level, decisions based on bad external data may have the potential to cause business failures. In business, data is the food that feeds the body or enterprise. Better data makes the body stronger and provides a foundation for the use of analytics and data science tools to reduce errors in decision-making.

Government 134

Government Data science Metadata Analytics 134

IBM Big Data Hub

NOVEMBER 14, 2022

Adding data visualization elements enhances the story and makes large amounts of data more digestible. When done right, data storytelling can be a powerful tool to communicate and demystify the data science. Training also empowers teams to use data as a competitive differentiator.

Data science 52

Data science Communications Access IT 52

IBM Big Data Hub

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

Artificial Intelligence 82

Artificial Intelligence Marketing e-Delivery Manufacturing 82

Info Source

JUNE 5, 2019

Nuxeo AI Enables Enterprises to Easily Leverage their own Data Sets to Create, Train, and Deploy Custom AI Models. Others allow custom model development, but require scarce data science expertise to use. Some services are easy to deploy and provide generic metadata not based on a businesses specific content.

Content services 40

Content services Cloud ECM Metadata 40

Collibra

AUGUST 14, 2023

It should clearly define the problem that the AI model solves, the data used to train the model, the desired outcomes, and the personas involved. To do so, you’ll need to collect and assess the data that’s available. You’ll want to assess whether it’s high-quality data or not. Now, it’s time to start training your model.

Government 52

Government Risk Financial Services Compliance 52

IBM Big Data Hub

NOVEMBER 3, 2023

To add to the complexity, there is a shortage of finding the right people with the right skills to take on development or data science projects. When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most.

Digital transformation 78

Digital transformation Data science Big data Analytics 78

IBM Big Data Hub

FEBRUARY 16, 2022

This API-based application uses two trained models: one focused on US Federal sentencing and the other trained on data obtained at the State level. The IBM AI Fairness 360 toolkit is used to identify bias by comparing benchmark data with an individual case that a public defender enters into the system.

Artificial Intelligence 57

Artificial Intelligence Data science Access IT 57

IBM Big Data Hub

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Begin training and encourage learning Start upskilling ai teams or hiring individuals with the right AI expertise.

Artificial Intelligence 76

Artificial Intelligence Customer Experience Cloud Government 76

The Last Watchdog

NOVEMBER 30, 2021

Deriving the singular algorithms required to accomplish this heavy lifting is a tall order and couldn’t happen without the evolution of big data; today, it’s technically possible and economically feasible to store this extensive amount of data and apply processing power to extract security intelligence from it.

IT 226

IT Security Big data Digital transformation 226

IBM Big Data Hub

JANUARY 10, 2023

Leveraging data to replace the ‘gut feel’ on which too many business decisions are made enables change practitioners to separate perceptions from reality and decide which processes need the most focus. It can show whether perceptions are real, as well as unearthing unexpected insights. CoE = Center of Excellence = Accelerator for Change.

Mining 52

Mining Analytics Digital transformation Data science 52

IBM Big Data Hub

MARCH 7, 2023

Using IBM Watson Studio , a service available on IBM Cloud Pak for Data , to train and monitor the AI solution’s machine learning models, Innocens BV could help doctors by providing data driven insights that are associated with a potential onset of sepsis.

Risk 52

Risk Privacy Data collection Cloud 52

eSecurity Planet

SEPTEMBER 22, 2022

Some SIEM and SDL tools build in assistance to manage data feed connections, data process, analysis, queries, and storage. Others do not and will require the security team to deploy programming skills and data science expertise. Features to Look for in a Security Data Lake Vendor.

Security 98

Security Analytics Cloud Unstructured data 98

eSecurity Planet

JULY 16, 2021

The FireEye Mandiant Automated Defense module – which will soon be spun off under the Mandiant name – combines data from the security stack with data science and machine learning capabilities to triage alerts, automatically eliminating events that don’t matter, and revealing the ones that do. FireEye Mandiant.

Analytics 100

Analytics Data science Cloud Artificial Intelligence 100

Bill Schmarzo - Dell EMC

MARCH 19, 2018

This is the same Amos Tversky who, along with Daniel Kahneman, was featured in Michael Lewis’s most recent book “ The Undoing Project: A Friendship That Changed Our Minds , an account of Tversky and Kahnemans’ extraordinary bond that incited a revolution in Big Data studies, among other things, and made much of Lewis’ own work possible.

Analytics 111

Analytics Data science Big data Risk 111

Bill Schmarzo - Dell EMC

JANUARY 31, 2018

Whether we know it or not, we have all become “Citizens of Data Science,” and the world will never be the same. TPU is designed to handle common machine learning and neural networking calculations for training and inference, specifically: matrix multiply, dot product, and quantization transforms.

Artificial Intelligence 104

Artificial Intelligence Computer and Electronics Data science Customer Experience 104

Archive-It

JUNE 16, 2021

Check out the Internet Archive’s job board for more information about openings with Archive-It and the Web Archiving & Data Services team. Tech and Training. Web archiving many voice s —Sharon Walker describes how Arizona State University documented the COVID-19 pandemic and its impact on marginalized communities there.

Archiving 26

Archiving IT Libraries Data science 26