IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? 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.

Artificial Intelligence 86

Artificial Intelligence Retail Unstructured data Insurance 86

CGI

MAY 15, 2018

Capital markets: Top five technology trends. Capital market firms always have been more mature in their use of data and technology than their retail and corporate banking cousins, and the results of the CGI Client Global Insights demonstrate that the pace of change within capital markets continues to accelerate. 1) Data is king.

Marketing 40

Marketing Digital transformation Artificial Intelligence Analytics 40

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Rocket Software

MAY 8, 2020

If you go to any retailer, they use IBM software and hardware. The use of Artificial Intelligence in IBM products can save lives. It has helped hospitals gain more insight on medical records and patient history to see trends in medications and outcomes. What I love about IBM : IBM is everywhere.

Artificial Intelligence 52

Artificial Intelligence Retail Marketing IT 52

IBM Big Data Hub

FEBRUARY 23, 2024

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. 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.

Analytics 103

Analytics Artificial Intelligence Marketing Education 103

Rocket Software

MAY 8, 2020

If you go to any retailer, they use IBM software and hardware. The use of Artificial Intelligence in IBM products can save lives. It has helped hospitals gain more insight on medical records and patient history to see trends in medications and outcomes. What I love about IBM : IBM is everywhere.

Artificial Intelligence 53

Artificial Intelligence Retail Marketing IT 53

IBM Big Data Hub

FEBRUARY 19, 2024

A 2023 survey found that a third of businesses are using artificial intelligence (AI) to improve resource and supply chain planning, and more than a third said using digital tools for inventory management was the most effective strategy in cutting overall supply chain costs.

Blockchain 86

Blockchain Analytics Artificial Intelligence Marketing 86

IBM Big Data Hub

OCTOBER 30, 2023

One of the largest children clothing retailer in the US utilizes this solution to streamline its complex supply chain. The retailer uses these insights to optimize inventory levels, reduce costs and enhance efficiency. The retailer uses these insights to optimize inventory levels, reduce costs and enhance efficiency.

Analytics 83

Analytics Retail Cloud Insurance 83

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 82

Data science Analytics Unstructured data Artificial Intelligence 82

IBM Big Data Hub

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

Unstructured data 69

Unstructured data Artificial Intelligence Sales Manufacturing 69

IBM Big Data Hub

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. Example A digital retailer catalogs all the different kinds of customer data it holds, like names, email addresses, and saved payment information.

Data Privacy 69

Data Privacy Privacy GDPR Personal data 69

Schneier on Security

FEBRUARY 7, 2020

This trend will only increase. This is an important trend, because it signals the end of the hardware and operating system battles we've all lived with. As computers become smaller and cheaper, this trend will only continue. And companies, wanting more control over their users' experience, will push this trend.

Security 134

Security Communications Access Artificial Intelligence 134

IBM Big Data Hub

JUNE 29, 2023

A retail company experiences a sudden surge in online sales due to a viral social media campaign. This includes analyzing market trends, competitive forces, and customer demands to identify opportunities and threats. These tools provide comprehensive insights into key metrics and help identify trends, patterns, and opportunities.

Analytics 80

Analytics Sales Marketing Risk 80

IBM Big Data Hub

JUNE 7, 2022

Artificial intelligence is being infused slowly but surely into all aspects of our lives, and it will be ubiquitous in everyday life sooner than we might imagine. Governments and regulatory bodies around the world are working to establish safety standards. In the U.S.,

Government 52

Government Financial Services Compliance Cloud 52

Reltio

MARCH 20, 2023

As the world embraces data and the technology that brings it to life, we see four key themes emerging in data management: Artificial intelligence (AI), data virtualization, real-time integration, and multi-cloud strategies. Below, we discuss these trends and how MDM solutions are critical to unlocking the full potential of each.

MDM 97

MDM Cloud Analytics e-Discovery 97

Bill Schmarzo - Dell EMC

MARCH 29, 2018

Let’s say that you are in the retail business and looking to leverage big data analytics to “ optimize in-store merchandising effectiveness. a large area event, unplanned construction work on a major travel artery) to identify and quantify merchandising and store traffic trends and model event-driven logistics impacts.

Digital transformation 111

Digital transformation Big data Analytics Sales 111

IT Governance

JANUARY 30, 2024

Source (New) Retail USA Yes 2,588,849 Keenan & Associates Source 1 ; source 2 (Update) Insurance USA Yes 1,509,616 AGC Group Source (New) Manufacturing Japan Yes 1.5 Source (New) Retail USA Yes 2,588,849 Keenan & Associates Source 1 ; source 2 (Update) Insurance USA Yes 1,509,616 AGC Group Source (New) Manufacturing Japan Yes 1.5

Data Privacy 52

Data Privacy Retail Privacy Manufacturing 52

Reltio

JULY 2, 2019

It’s the classic garbage in garbage out, but it is even more important now as we move into the real drive towards machine learning and artificial intelligence. What trends or changes do you predict to the data management and analytics arena in the next few years?

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

Reltio

JULY 31, 2019

Advanced analytics, or artificial intelligence (AI), still has a ways to go. What trends or changes do you predict to the data management arena in the next few years? For me, modern data management is about technology giving you the power to change the way your business is moving and with the same fluidity.

Analytics 49

Analytics Blockchain Cloud Artificial Intelligence 49

IBM Big Data Hub

MAY 10, 2023

As you’ve heard IBM CEO Arvind Krishna share many times, IBM is a hybrid cloud and artificial intelligence company. That technology, of course, is artificial intelligence. Ultimately, we believe the answer lies in the power of augmenting our own human intelligence.

Artificial Intelligence 84

Artificial Intelligence Cloud Marketing Digital transformation 84

Bill Schmarzo - Dell EMC

MARCH 29, 2018

Let’s say that you are in the retail business and looking to leverage big data analytics to “ optimize in-store merchandising effectiveness. a large area event, unplanned construction work on a major travel artery) to identify and quantify merchandising and store traffic trends and model event-driven logistics impacts.

Digital transformation 40

Digital transformation Big data Analytics Sales 40

IBM Big Data Hub

JANUARY 31, 2024

The trend toward digital transformation has many organizations strengthening their operations through business process outsourcing. Businesses now look beyond offshore outsourcing and labor arbitrage, instead leveraging artificial intelligence (AI) and automation to create efficiencies and modernize processes.

Marketing 99

Marketing Manufacturing Artificial Intelligence Sales 99

CGI

OCTOBER 21, 2016

Historically, regulations that impacted corporate banking and those applied to retail banking were very different, so as the rules developed, strategies and processes were developed within specific departments in the bank. One answer to this lies in big data and artificial intelligence.

Artificial Intelligence 40

Artificial Intelligence Big data Digital transformation Compliance 40

IBM Big Data Hub

JANUARY 9, 2024

Using insights from extensive collaborations with customers and partners in more than 25 countries, we’re excited to share well-informed predictions and emerging trends for 2024. This trend signals a move toward more efficient and personalized AI-driven business solutions. trillion and 4.4

Artificial Intelligence 106

Artificial Intelligence Retail Marketing Risk 106

ARMA International

NOVEMBER 7, 2019

The major categories of financial institutions include central banks, retail and commercial banks, investment banks, investment companies, brokerage firms, internet banks, credit unions, and savings and loans associations. Industry Trends and Impact on RIM.

Financial Services 52

Financial Services Communications Compliance Risk 52

CGI

OCTOBER 31, 2018

Emerging trends are creating numerous opportunities to unlock new customer experiences and business models for the digital economy, with advanced analytics serving as the differentiator in achieving operational, commercial and customer engagement excellence.

Energy and Utilities 40

Energy and Utilities Analytics Digital transformation Customer Experience 40

Reltio

OCTOBER 9, 2022

By processing big data, retailers can get insights into their entire supply chain. Big data has led to a greater understanding of customer behavior, trends, and preferences. It's often unstructured and usually doesn't fit neatly into databases. This can make storing, managing and analyzing it using traditional methods difficult.

Big data 52

Big data MDM Unstructured data Analytics 52

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Here are the erwin Expert’s predicted data governance trends for 2020: 1. Gartner even refers to them as “the new black in data management and analytics.”.

Government 139

Government Digital transformation Metadata Artificial Intelligence 139

IBM Big Data Hub

AUGUST 15, 2023

Artificial intelligence (AI) adoption is here. In fact, the use of artificial intelligence in business is developing beyond small, use-case specific applications into a paradigm that places AI at the strategic core of business operations.

Artificial Intelligence 78

Artificial Intelligence IT Customer Experience Government 78

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Here are the erwin Expert’s predicted data governance trends for 2020: More U.S. Gartner even refers to them as “the new black in data management and analytics.”

Government 52

Government Digital transformation Metadata Artificial Intelligence 52

John Battelle's Searchblog

DECEMBER 27, 2023

Why can’t the data from retail media networks inform supply chains, for example? I’m not predicting the rise of a new magazine era here, but I do think the world is thirsty for trustworthy voices that go beyond a single influencer adept at riding the algorithmic waves of TikTok, YouTube, or Substack.

Marketing 121

Marketing Energy and Utilities Big data B2B 121