IBM Journey to AI blog

MARCH 15, 2024

The solutions deployed included IBM® Application Discovery and Delivery Intelligence (ADDI), Cloud Transformation Insights (CTI), Analysis and Renovation Catalyst (ARC), Mainframe Application Modernizer (MAM) and Candidate Microservice Advisor (CMA). This allowed them to deliver higher-quality health outcomes to their customers.

99

99

IBM Journey to AI blog

JUNE 2, 2023

More than 20% of families and children are supported by these systems, and with the current constituents of these systems becoming more consumer technology-centric, the use of antiquated technology systems is archaic and unsustainable. At this point, families expect state agencies to have a modern, efficient child support system.

AWS 88

AWS Data Warehouse Cloud Data Database 88

Precisely

SEPTEMBER 12, 2023

These environments are constantly changing and often do not integrate with legacy systems, like mainframe and IBM i. Precisely has decades of expertise working with mainframe and IBM i data, to replicate complex data from traditional environments and turn it into actionable insights in Confluent.

Data Silos 52

Data Silos Apache Kafka Data Pipeline Data Quality 52

IBM Journey to AI blog

SEPTEMBER 20, 2023

AI and its many use cases have become a topic of public discussion no longer relegated to tech experts. Despite the many potential advantages, many government agencies are still grasping on how to implement AI and generative AI in particular In many cases, government agencies around the globe face a choice.

AI 109

AI AI Natural Language Processing Database 109

Smart Data Collective

OCTOBER 19, 2022

It is compatible with a laptop to mainframe and on-premise through a hybrid cloud. With MongoDB, you get a wider variety of use cases such as geospatial queries, graph traversals, and more. MongoDB is deployable anywhere, and the MongoDB Atlas database-as-a-service can be deployed on AWS, Azure, and Google Cloud Platform (GCP).

Big Data 112

Big Data Big Data Database AWS 112

Precisely

MARCH 9, 2023

Data lakes are often used for situations in which an organization wishes to store information for possible future use. Stakeholders in the company might not have a clear use case in mind yet, but they want to retain the information in a repository where it can be readily available for analysis.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Apache Hadoop 59

IBM Journey to AI blog

JUNE 23, 2023

It also often means that the insurer must continue maintaining legacy operational and IT systems that are used for the management of the closed book. Market adaptability: The use of cloud speeds time to market for products and services and supports rapid prototyping and innovation.

Supervised Learning 61

Supervised Learning AI AI Artificial Intelligence 61

Iguazio

MARCH 31, 2024

Customer care organizations are facing the disruptions of an AI-enabled future, and gen AI is already impacting customer care organizations across use cases like agent co-pilots, summarizing calls and deriving insights, creating chatbots and more. What are Some Customer Care Use Cases for Gen AI?

AI 52

AI AI Database Analytics 52

Precisely

MAY 13, 2024

If you need to build stronger, faster, and flexible data integration, use this checklist of ten key attributes to streamline your search and find the right technology for your organization, faster. #1. In most cases, authorized users should be able to add sources and targets at the click of a button, without custom programming.

Data Governance 52

Data Governance Data Pipeline Data Quality Cloud Data 52

Precisely

FEBRUARY 2, 2023

For example, a firm may envision the best outcome scenario, a middle-of-the-road scenario and a worst-case scenario. Pipelines must have robust data integration capabilities that integrate data from multiple data silos, including the extensive list of applications used throughout the organization, databases and even mainframes.

Data Pipeline 52

Data Pipeline Data Silos Database Data Observability 52

Precisely

MAY 31, 2023

Business and IT teams need a simple, seamless data integrity solution that enables them to: Collaborate on making data accessible Ensure and maintain its quality Enrich the data with third-party context Real-time Access to Data In the past, businesses struggled to get timely access to data for both analytical and operational use cases.

Data Quality 52

Data Quality Data Governance Data Observability ETL 52

O'Reilly Media

APRIL 23, 2024

Not to be confused with the ordinary sense of rent as a charge for temporary use of property, economic rents are the income above a competitive market rate that is collected because of asymmetries in ownership, information, or power. They used location data and past searches to make answers more relevant and personalized.

Algorithm 108

Algorithm AI AI Cloud Computing 108

Precisely

MARCH 12, 2024

Mainframe and midrange servers are probably among the least understood systems among today’s IT professionals. Unless you work with mainframes or midrange servers specifically, you probably think of them as old-school systems with very different technical specifications, administration, and software. What is a mainframe?

Database 52

Database 52

Precisely

FEBRUARY 6, 2023

Leading brands use advanced analytics and mobility data to understand consumers better and drive compelling customer experiences. In the case of customer data, for example, it means understanding what drives purchasing behavior. Data drives innovation in today’s global economy.

Data Governance 52

Data Governance Data Quality Machine Learning Machine Learning 52

phData

AUGUST 9, 2023

Data was extracted from mainframes and legacy systems into warehouse databases like Oracle and Teradata using custom-built ETL tools. It could handle billions of rows of data using columnar data storage and parallel processing. Closing As you can see, using these tools comes with a new paradigm shift we must embrace.

ETL 52

ETL Data Warehouse Cloud Data Big Data 52

IBM Journey to AI blog

FEBRUARY 23, 2024

A data controller is any organization, group, or person that collects personal data and determines how it is used. The company regularly monitors the activity of EEA residents, such as by using tracking cookies. Purpose limitation: Data should be collected and used for a specifically defined purpose.

Data Governance 82

Data Governance AWS Database 82

IBM Journey to AI blog

SEPTEMBER 26, 2023

Today’s constituents are interested in engaging with services using modern, consumer-friendly technologies, platforms and devices. Utilizing the capabilities of modern technology stacks rather than continuing to use outdated and limited applications developed on existing systems.

Data Warehouse 98

Data Warehouse Cloud Computing Cloud Data Analytics 98

Alation

JANUARY 26, 2023

Used correctly, it can improve internal operations, power marketing strategies, and much more. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. Users are more concerned about how their personal information is gathered and used.

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52

Alation

MARCH 31, 2022

The writer Richard Millar Devens used “business intelligence” to describe how a banker had the foresight to gather and act on information thus getting the jump on his competition. The 1980s gave us power dressing (big hair! But this is rarely the case. The Evolution of Business Intelligence. Early Days. bigger shoulder pads!)

Business Intelligence 52

Business Intelligence Business Intelligence Data Warehouse Data Scientist 52

Precisely

MARCH 16, 2023

Mainframes continue to play an important role in the IT landscape of many large and midsize organizations. As IT operations analytics practices evolve, however, traditional approaches to monitoring mainframe software and managing operational efficiencies must adapt to fit within a unified ITOA model.

Apache Kafka 52

Apache Kafka Analytics Analytics 52

Precisely

APRIL 3, 2023

Whether you’re a financial services company using data to combat financial crime, a transportation company seeking to minimize your climate impact, or a manufacturing business aiming to optimize your supply chain, digital modernization provides critical insights and visibility, unlocking the information critical to your success.

ETL 52

ETL Database Analytics Analytics 52

Alation

JUNE 14, 2023

At the recent webinar Fifth Third’s Journey to Data Mesh with Alation and Snowflake Kaleigh Lavorini , director of product ownership and data strategy at Fifth Third , explains that many people don’t know whether they’re a data source owner, or even where their data goes or who uses it. That’s a problem! We want to consume more data.

Data Pipeline 52

Data Pipeline ETL Data Warehouse SQL 52

Precisely

JUNE 12, 2023

Insurance companies that use artificial intelligence and machine learning (AI/ML) technology, for example, are competing aggressively and winning market share. The business case for modernization is very clear, but there’s a more important and even more difficult journey for mainframe modernization.

Data Silos 52

Data Silos Augmented Analytics Database ML 52

Alation

AUGUST 11, 2022

He now puts his 30-plus years of industry experience to work at his eponymous consulting firm , helping companies use data and analytics to discover opportunities for market advancement and growth. So if you look back, the modern data era started with mainframes. When the mainframes came out, everything was centralized.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Data Engineering 52

IBM Journey to AI blog

JANUARY 17, 2024

Key management : The keys used in encrypting and decrypting data and associated tasks like key length, distribution, generation, rotation, etc. Before diving into cryptography’s many use cases, let’s review the basics of cryptography. are kept secure.

Algorithm 91

Algorithm Database Analytics Analytics 91

Dataconomy

OCTOBER 20, 2023

In the late 1970s and early 1980s, computer graphics were primarily used in research and development, with few applications in the consumer space. At that time, graphics processing was performed using mainframe computers or special-purpose hardware such as vector graphics terminals. VRAM stands for Video Random Access Memory.

Natural Language Processing 113

Natural Language Processing Machine Learning Machine Learning Computer Science 113

Hacker News

SEPTEMBER 24, 2021

Deep learning is now being used to translate between languages, predict how proteins fold , analyze medical scans , and play games as complex as Go , to name just a few applications of a technique that is now becoming pervasive. Researchers used that ability to break record after record as they applied deep learning to new tasks.

Deep Learning 182

Deep Learning Deep Learning Machine Learning Machine Learning 182

IBM Journey to AI blog

DECEMBER 1, 2023

By creating an agile, flexible and scalable computing environment, hybrid cloud offers valuable use cases for businesses to accelerate growth and gain a competitive advantage. Hybrid cloud vs. multicloud Hybrid cloud is frequently confused with multicloud , which refers to using cloud services from more than one cloud vendor.

Cloud Computing 88

Cloud Computing AWS AI AI 88

IBM Journey to AI blog

NOVEMBER 3, 2023

NVMe (non-volatile memory express) is a protocol for highly parallel data transfer with reduced system overheads per input/output per second (I/O, or iops) that is used in flash storage and solid-state drives (SSDs). 2 SSDs are a form factor or connector used in SSDs. 2 SSDs are a form factor or connector used in SSDs.

ML 76

ML ML Internet of Things Artificial Intelligence 76

Smart Data Collective

SEPTEMBER 8, 2021

The ETL process is defined as the movement of data from its source to destination storage (typically a Data Warehouse) for future use in reports and analyzes. These products are free to use and their source code is freely available. It can be used to manipulate, store, and analyze data of any structure.

ETL 94

ETL Hadoop Data Warehouse Data Pipeline 94

IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences.

Deep Learning 61

Deep Learning Deep Learning Machine Learning Machine Learning 61

Becoming Human

MAY 15, 2023

In this case, what should you do? You have to learn only those parts of technology that are useful in data science as well as help you land a job. In Data Science, we also use Python libraries such as Pandas , Numpy , Matplotlib , Seaborn , etc. So, trust me, my friends, you end up losing so much time and energy.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

O'Reilly Media

JUNE 15, 2021

The series is a call to action for everyone developing communal devices–whether you are creating business cases, designing experiences, or building technology–to take a step back and consider what is really needed. These are temporary fixes that will only be effective until the next special case reveals itself. The Wrong Model.

Internet of Things 90

Internet of Things ML ML Artificial Intelligence 90

Precisely

FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. Mainframe and IBM i systems remain critical parts of the modern data center and are vital to the success of these data initiatives.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Precisely

OCTOBER 16, 2023

For organizations that continue to rely on mainframe systems to process their most mission-critical workloads, the digital revolution demands new approaches to integration. Later, this trend shifted the responsibility for IT functions to the specific departments using them.

Analytics 72

Analytics Analytics Big Data Analytics Big Data Analytics 72

IBM Journey to AI blog

MAY 13, 2024

Many are turning to AI upskilling , the act of preparing the workforce with skills and education to empower them to use AI to do their jobs. Every organization is responsible for providing its workforce with the requisite skill sets and education to use AI in their daily jobs. Employees need to change to meet those needs.

AI 68

AI AI Machine Learning Machine Learning 68

Dataconomy

APRIL 4, 2024

An early use for this was translation. But the basic approach allowed us to train software on text scraped from the internet. In 2021, we figured out how to create an “instruct model” that used a process called Supervised Fine Tuning (SFT) to make the conversational AI follow instructions. From there, progress was pretty rapid.

AI 103

AI AI Algorithm Decision Trees 103