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 129

Artificial Intelligence Marketing Sales Communications 129

IBM Big Data Hub

OCTOBER 17, 2023

Foundation models make AI more scalable by consolidating the cost and effort of model training by up to 70%. And training and maintaining dozens of regression models is not easy, making it a bottleneck for accelerated scaling. This cuts model training and deployment time by half, making it a viable technology for large-scale rollouts.

Artificial Intelligence 110

Artificial Intelligence Manufacturing IT 110

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data science 87

Data science Analytics Unstructured data Artificial Intelligence 87

eSecurity Planet

AUGUST 22, 2023

Jump ahead to: Prioritize Data Protection Document Your Response Process Make Users Part of the Process Understand Business Context Be Thorough Proactively Collect and Organize Data Don’t Forget Network Analysis Train and Drill Enlist Outside Help Go on the Offensive 1.

Data breaches 98

Data breaches Big data Cybersecurity Security 98

IBM Big Data Hub

JULY 12, 2023

GKN Aerospace is a leading global supplier in the aerospace industry, specializing in the design, manufacturing, and supply of advanced aerospace systems and components. With physical locations in 12 countries and 34 manufacturing sites worldwide, the company employs over 16,000 people.

Analytics 68

Analytics Manufacturing Sales IT 68

IBM Big Data Hub

DECEMBER 19, 2023

Supervised learning Supervised learning techniques use real-world input and output data to detect anomalies. These types of anomaly detection systems require a data analyst to label data points as either normal or abnormal to be used as training data.

Unstructured data 74

Unstructured data Artificial Intelligence Sales Manufacturing 74

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. What are the types of AGI?

Artificial Intelligence 98

Artificial Intelligence Marketing e-Delivery Manufacturing 98

IBM Big Data Hub

JANUARY 3, 2024

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations.

Metadata 82

Metadata Healthcare Government Manufacturing 82

IBM Big Data Hub

NOVEMBER 10, 2023

Areas to assess can include, financial, manufacturing, inventory, sales and more. Team members should be put through user training and key stakeholders should be involved in this testing process as well. It is vital to test the entire system and ensure its functioning properly and running data accurately.

Cloud 125

Cloud Data migration Access Manufacturing 125

IBM Big Data Hub

JULY 19, 2023

Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. Commercial: Marketing content creation, patient experience, rep onboarding & training sales enablement and knowledge hub. Robustness : AI systems should be able to withstand attacks to the training data.

Marketing 67

Marketing Manufacturing Analytics Compliance 67

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. Reinforcement learning uses ML to train models to identify and respond to cyberattacks and detect intrusions. Antivirus programs may use AI and ML techniques to detect and block malware.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

MARCH 8, 2024

The expansion of the solar PV supply chain is enabling the manufacturing necessary to meet the demands of the growing industry. More manufacturing capacity in the US, India and the EU is expected to help diversify the solar PV supply chain, but China continues to dominate the space.

Energy and Utilities 77

Energy and Utilities Manufacturing Government IT 77

IBM Big Data Hub

JANUARY 26, 2024

hereafter as Shuto Technology) to help a joint venture Original Equipment Manufacturer (OEM) in China to obtain information in an accurate and cost-effective way for on-site technicians. IBM® recently announced that it has worked with its business partner, Beijing Shuto Technology Co.,

Energy and Utilities 82

Energy and Utilities Digital transformation IoT Manufacturing 82

IBM Big Data Hub

APRIL 25, 2024

An early case study of BPR was Ford Motor Company, which successfully implemented reengineering efforts in the 1990s to streamline its manufacturing processes and improve competitiveness. Organizations of all sizes and industries implement business process reengineering. BPR initiatives generally boost key performance indicators (KPIs).

Analytics 56

Analytics Communications Marketing Manufacturing 56

IBM Big Data Hub

AUGUST 8, 2023

Through our dedicated IBM Consulting Microsoft practice we have co-funded and co-developed key solutions with Microsoft and have invested in training our consultants on Microsoft Cloud while expanding our bench of experts and capabilities through acquisitions like Neudesic. We are the #1 Red Hat GSI specialized in ARO.

Cloud 86

Cloud Sales Digital transformation Manufacturing 86

CGI

NOVEMBER 26, 2018

Real-time, multidimensional economic modeling will enable government policymakers to study the impacts and trends of major economic failures in the world economy from a new, big data analytics perspective. Analyze trends in various critical open data sources available on U.S. Improve efficiency by reducing human error.

Big data 40

Big data Artificial Intelligence Agriculture Government 40

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Determine if a talent pipeline exists to fill roles such as data scientists and developers or if skills can be developed internally through training.

Artificial Intelligence 82

Artificial Intelligence Customer Experience Cloud Government 82

Hunton Privacy

JULY 11, 2017

According to the Draft Regulations, this may include network facilities and information systems operated and managed by (1) government agencies and entities in the energy, finance, transportation, water conservation, health care, education, social insurance, environmental protection and public utilities sectors; (2) information networks, such as telecommunications (..)

Energy and Utilities 45

Energy and Utilities Security Cybersecurity Manufacturing 45

Data Matters

MAY 18, 2020

Training Data. imposing requirements for data sets to be sufficiently representative, ensuring gender, ethnicity and other possible grounds are appropriately reflected in those data sets); and (iii) privacy obligations under the GDPR should be adequately protected during the use of AI-enabled products. Conclusion.

Artificial Intelligence 68

Artificial Intelligence Risk Paper GDPR 68

IBM Big Data Hub

JUNE 8, 2023

Together with IBM’s support, the aim is leveraging data from the ocean and technology, and taking the project to the next level. The Reef Company designs reef modules, which are engineered with low-carbon impact materials and are manufactured locally.

Manufacturing 87

Manufacturing Data collection Analytics Marketing 87

IBM Big Data Hub

AUGUST 8, 2023

Examples of transportation systems include roadways, public transit systems, airports, train stations, bus stations, ferry terminals, pipelines and warehouses. This ambitious bill, largely managed by the US Department of Transportation, will distribute USD 1 trillion to fund construction, manufacturing initiatives and public works.

Artificial Intelligence 73

Artificial Intelligence IoT Compliance Communications 73

IBM Big Data Hub

DECEMBER 1, 2023

An example is manufacturing industry software which includes MRP, or material requirements planning. In-house advantage: By having all data storage and hardware on-site the organization isn’t dependent on the software vendor for system needs. It can all be handled by the on-site IT team once they have been trained properly.

Cloud 98

Cloud Energy and Utilities e-Delivery Risk 98

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

IBM Big Data Hub

MARCH 14, 2024

Apple was one of the first manufacturers to test the appetite for 5G in 2020 by offering its newest iPhone with 5G compatibility. Today, 5G service is already being used in airports, ports, train stations and other logistics hubs critical to supply chain infrastructure, but its potential has barely been tapped.

Cloud 61

Cloud IoT Energy and Utilities Artificial Intelligence 61

IBM Big Data Hub

AUGUST 11, 2023

Manufacturing execution systems (MES) have grown in popularity across the manufacturing industry. If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors.

Manufacturing 77

Manufacturing Compliance Healthcare Analytics 77

IBM Big Data Hub

APRIL 26, 2024

To train LLMs, developers use massive amounts of data from various sources, including the internet. While LLMs are knowledgeable about a wide range of topics, they are limited solely to the data on which they were trained. More importantly, SLMs are trained on data pertaining to a specific domain.

Cloud 93

Cloud Customer Experience Manufacturing Mining 93

IBM Big Data Hub

JUNE 26, 2023

The auto parts manufacturers caught in it are facing the problem of how to survive and grow against the increasingly fierce competition. The Intelligent Manufacturing Department of Yanfeng Auto hopes to work with IBM CSM team to explore the way of building up its intelligent inventory platform with predictive capabilities.

Manufacturing 68

Manufacturing Cloud Digital transformation Sales 68

IBM Big Data Hub

SEPTEMBER 7, 2023

And just as granite is a strong, multipurpose material with many uses in construction and manufacturing, so we at IBM believe these Granite models will deliver enduring value to your business. The Granite family of models is no different, and so we trained them on a variety of datasets — totaling 7 TB before pre-processing, 2.4

Artificial Intelligence 108

Artificial Intelligence Unstructured data Risk Compliance 108

IBM Big Data Hub

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. All watsonx.ai

Artificial Intelligence 63

Artificial Intelligence Marketing Unstructured data Manufacturing 63

IBM Big Data Hub

JULY 28, 2023

It is the manufacturers’ job to make sure you’re sitting comfortably in your chair, your car is operating safely, and your gas is flowing when you need it. Manufacturers are the unsung heroes who make sure we’re safe, day in and day out. They do not get famous if they do their job well.

Manufacturing 60

Manufacturing Analytics Cloud Artificial Intelligence 60

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Government 85

Government Analytics Metadata Artificial Intelligence 85

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 This may be sufficient for smaller datasets, but data scientists will not be able to use this approach for more robust models.

Data science 81

Data science Manufacturing Artificial Intelligence Retail 81

eSecurity Planet

JANUARY 21, 2021

LogicManager is lauded for its user experience and technical training and was named a Challenger in Gartner’s 2020 Magic Quadrant for IT risk management. SAP’s in-memory data access will give you top-of-the-line big data and predictive analytics capabilities tied to risk management. Audit management.

Compliance 67

Compliance Risk Government Retail 67

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs), which are trained on a broad set of unlabeled data at scale, are driving state-of-the-art artificial intelligence (AI) applications. First, enterprises produce a vast amount of unlabeled data, only a fraction of which is labeled for AI model training. What are large language models?

Cloud 92

Cloud Data science Artificial Intelligence Analytics 92

eSecurity Planet

JANUARY 21, 2021

LogicManager is lauded for its user experience and technical training and was named a Challenger in Gartner’s 2020 Magic Quadrant for IT risk management. SAP’s in-memory data access will give you top-of-the-line big data and predictive analytics capabilities tied to risk management. Audit management.

Compliance 57

Compliance Risk Government Retail 57

IBM Big Data Hub

MAY 31, 2023

Without due care and attention, things break—regardless of whether that’s a transformer in an electricity grid, an axle bearing on a train or a refrigerator in a restaurant. There are obstacles to overcome for predictive maintenance to be effective or even possible, such as complexity, training and data.

Artificial Intelligence 101

Artificial Intelligence IoT Risk Analytics 101

ARMA International

SEPTEMBER 13, 2021

For example, re-packing corporate records can help weave a narrative to promote a brand, enhance corporate social responsibility outreach programs, improve employee loyalty, enhance diversity, equality and inclusion training, and highlight environment, social and governance initiatives. A Very Short History Of Big Data , Forbes [link].

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59