IBM Big Data Hub

FEBRUARY 14, 2024

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training.

Artificial Intelligence 88

Artificial Intelligence Retail Unstructured data Insurance 88

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Clean data is fundamental for training your AI.

Analytics 106

Analytics Artificial Intelligence Marketing Education 106

IBM Big Data Hub

JUNE 7, 2022

The announcement highlighted the crucial role of training data, and the terrible consequences of using data that “fails to represent American society.”. As an example, a large financial services firm could easily deploy hundreds or thousands of AI models to assist decision makers in various tasks.

Government 52

Government Financial Services Compliance Cloud 52

IBM Big Data Hub

JANUARY 10, 2024

Some example use cases to highlight: Confidential AI: leverage trustworthy AI and while ensuring the integrity of the models and confidentiality of data Organizations leveraging AI models often encounter challenges related to the privacy and security of the data used for training and the integrity of the AI models themselves.

Security 78

Security Cloud Data Privacy Financial Services 78

IBM Big Data Hub

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training.

Retail 71

Retail Compliance Risk Education 71

IBM Big Data Hub

MARCH 27, 2024

In some business sectors, such as financial services, fast-moving consumer goods and healthcare, business interruptions can have a significant detrimental impact on daily life. These stories show that organizations can use climate data and AI to improve their decision-making and their resilience against climate risks.

Risk 67

Risk Artificial Intelligence Agriculture Financial Services 67

IBM Big Data Hub

MAY 9, 2023

It’s why we gave partners access to the same training and enablement as IBMers last year, launched a new partner program in January, and continue investing in and growing the IBM Ecosystem. If you’ve followed IBM over the past few years, you know how critical the IBM Ecosystem is to our growth strategy.

Cloud 101

Cloud Financial Services Marketing IT 101

IBM Big Data Hub

SEPTEMBER 27, 2022

Whether it be financial services, employee hiring, customer service management or healthcare administration, AI is increasingly powering critical workflows across all industries. We believe that data policies should be fair and equitable and prioritize openness. Today AI permeates every aspect of business function.

Government 52

Government Compliance Data science Financial Services 52

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. However, these systems lack genuine understanding and can’t adapt to situations outside their training.

Artificial Intelligence 90

Artificial Intelligence Marketing e-Delivery Manufacturing 90

IBM Big Data Hub

SEPTEMBER 20, 2023

While that can mean hiring new talent like data scientists and software programmers, it should also mean providing existing workers with the training they need to manage AI-related projects. At all levels of governments, from national entities to local governments, public employees must be ready for this new AI era.

Government 110

Government Artificial Intelligence Privacy Digital transformation 110

IBM Big Data Hub

JANUARY 12, 2024

Jamworks for Education turns lectures into interactive, engaging and accessible study materials, such as a perfectly formatted set of notes, an interactive deck of flashcards and a personalized AI tutor trained on each class.

Cloud 104

Cloud Data Privacy Encryption Privacy 104

IBM Big Data Hub

JANUARY 18, 2024

For complex purchases with a multi-step sales funnel, chatbots can ask qualification questions and connect customers directly with trained sales agents to lift your conversion rate. Chatbots efficiently speed up response times, guiding customers toward making a purchase.

Sales 96

Sales Artificial Intelligence Communications Marketing 96

CGI

FEBRUARY 21, 2017

As financial services organizations are learning, defences against financial crime must be joined up and layered, bringing together both operational and intelligence resources. Lack of employee training and awareness. Intelligence (or data) also is now a key focus. The answer is layered defence. Identity theft .

Customer Experience 40

Customer Experience Financial Services Analytics Risk 40

Reltio

MAY 14, 2019

In the early days I worked in data transformation for data into banks through digital printing – amazing that I trained to do all these elaborate hand-crafted books and ended up doing cheque books! What trends or changes do you predict to the data management arena in the next few years?

Big data 45

Big data Government Cloud IT 45

Reltio

SEPTEMBER 24, 2019

Nicola Askham is the leading data governance training provider in the UK with over 16 years of experience and research in the field. She delivers training and consulting to major organisations to help them implement full data governance frameworks. You love to teach and help clients successful via data governance.

Government 55

Government Digital transformation Big data IT 55

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. It continues to change, shaped by technological advancements, shifts in consumer preferences and new challenges.

Analytics 89

Analytics Marketing Artificial Intelligence Sales 89

DLA Piper Privacy Matters

AUGUST 23, 2021

Purposes/Restrictions on Use Collection and processing of data must be directly related to the purpose of processing specified in the privacy notice. Excessive data collection must be avoided. Interestingly the provisions of the PIPL around data minimisation appear to be targeted at apps and big data analytics.

Data Privacy 111

Data Privacy Privacy Compliance Analytics 111

Data Matters

SEPTEMBER 24, 2019

We provide a brief overview of BDPA’s principles relating to the processing of personal data, requirements with respect to data subject rights, international transfers, and compliance. Companies in the financial services, technology, airline and hotel industries are among those that could face substantial compliance obligations.

Personal data 68

Personal data GDPR Data Privacy Privacy 68

IBM Big Data Hub

SEPTEMBER 14, 2023

Broadly, the categories include the following: Application data exchange: Client/server communication between application components across clouds (e.g., via RESTful APIs) to exchange data and complete synchronous or asynchronous transactions.

Cloud 78

Cloud Financial Services Insurance Compliance 78

eSecurity Planet

JANUARY 21, 2021

LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. Financial reporting compliance.

Compliance 67

Compliance Risk Government Retail 67

eSecurity Planet

JANUARY 21, 2021

LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. Financial reporting compliance.

Compliance 57

Compliance Risk Government Retail 57

IBM Big Data Hub

DECEMBER 1, 2023

They must comply with an increasing regulatory burden, and they compete with a broad range of financial services companies that offer investment products that have potential for better returns than traditional life insurance and annuity products. The supervised learning that is used to train AI requires a lot of human effort.

Insurance 107

Insurance Digital transformation Customer Experience Cloud 107

IBM Big Data Hub

SEPTEMBER 18, 2023

Transforming trade finance with industry cloud platforms and AI Core to this platform is IBM Cloud for Financial Services , a first-of-its-kind cloud designed to serve the challenging needs of regulated industries with laws, rules and regulations built in from the outset.

Financial Services 90

Financial Services Cloud Compliance Artificial Intelligence 90

IBM Big Data Hub

OCTOBER 20, 2023

You can connect to the existing database, upload a data file, anonymize columns and generate as much data as needed to address data gaps or train classical AI models. This may be sufficient for smaller datasets, but data scientists will not be able to use this approach for more robust models.

Data science 79

Data science Manufacturing Artificial Intelligence Retail 79

IBM Big Data Hub

FEBRUARY 8, 2023

This necessitates the detection of bias during data acquisition, building, training, deploying and monitoring models. Organizations in highly regulated markets such as healthcare, government and financial services have additional challenges in meeting industry regulations around data and models. million.

Artificial Intelligence 52

Artificial Intelligence Compliance Analytics Government 52

IBM Big Data Hub

MAY 10, 2023

Whether your organization operates in retail, banking and financial services, travel and transportation, or healthcare, IBM Event Automation offers you the ability to remain aware of what’s happening across your business, so you can become more responsive to customers and resilient in the face of shifting market dynamics.

Artificial Intelligence 87

Artificial Intelligence Cloud Marketing Digital transformation 87

IBM Big Data Hub

AUGUST 15, 2023

It ensures the data and AI models are not only accurate, providing a higher-quality outcome, but that the data is being used in a safe and ethical way. Building and training foundation models Creating foundations models starts with clean data. What are foundation models and how are they changing the game for AI?

Artificial Intelligence 81

Artificial Intelligence IT Customer Experience Government 81

Info Source

FEBRUARY 11, 2020

Accounts Payable Innovator Brad Gerritsen from Honda Logistics, one of Ephesoft’s most technologically advanced clients, shared a case study on automation in the financial services industry. The event concluded with a dinner reception and show by Big Data comedian Tim Lee.

Digital transformation 52

Digital transformation Artificial Intelligence Mining Financial Services 52

Reltio

JULY 23, 2019

How did you get into data management and what drove you to set up a data management company? I was trained in Oracle relational databases and GUI tools to deliver group-wide Banking Systems. If you’ve got people who already have an understanding of data and relevant skills, then you’ll accelerate your success.

MDM 40

MDM Cloud Analytics Marketing 40