IBM Big Data Hub

JANUARY 8, 2024

The rise of advanced digital technologies Technological developments improving organizations include automation , quantum computing and cloud computing , artificial intelligence , machine learning and the Internet of Things (IoT). By doing so, they should expect resolved customer service issues and customer satisfaction to improve.

Digital transformation 61

Digital transformation Customer Experience Artificial Intelligence IoT 61

IBM Big Data Hub

APRIL 15, 2024

For example, as manufacturers, we create a knowledge base, but no one can find anything without spending hours searching and browsing through the contents. As an example of how gen AI helps with IT modernization, consider the Water Corporation use case. Or we create a data lake, which quickly degenerates to a data swamp.

Manufacturing 94

Manufacturing Cloud IoT Analytics 94

DLA Piper Privacy Matters

APRIL 26, 2021

On 21 April 2021, the European Commission published the long-awaited proposal for a Regulation on Artificial Intelligence [1] (“ AI Regulation ”). The proposed AI Regulation introduces a first-of-its-kind, comprehensive, harmonized, regulatory framework for Artificial Intelligence.

Artificial Intelligence 114

Artificial Intelligence Risk Marketing GDPR 114

IBM Big Data Hub

DECEMBER 20, 2023

Invest in the right technology Automation and chatbots are two such technologies that are revolutionizing customer experience, especially with the increasing rise of artificial intelligence (AI) that adds more sophistication to these tools.

Customer Experience 63

Customer Experience Artificial Intelligence Sales Marketing 63

IBM Big Data Hub

SEPTEMBER 5, 2023

However, more advanced chatbots can leverage artificial intelligence (AI) and natural language processing (NLP) to understand a user’s input and navigate complex human conversations with ease. However, this system is evolving with artificial intelligence.

Artificial Intelligence 58

Artificial Intelligence e-Delivery Customer Experience IT 58

IBM Big Data Hub

DECEMBER 5, 2023

Some examples of how they can do this include providing limited edition or exclusive offerings or otherwise surprising and delighting those customers when possible. For example, customer service now takes place in an omnichannel environment where they may need to triage conversations occurring on multiple channels.

Customer Experience 63

Customer Experience Artificial Intelligence Communications Digital transformation 63

IBM Big Data Hub

OCTOBER 12, 2023

For example, Apple made Siri a feature of its iOS in 2011. Human intervention was required to expand Siri’s knowledge base and functionality. Siri, Amazon’s Alexa and IBM Watson are examples of Narrow AI. Examples include self-driving cars and machines navigating warehouses and other environments.

Artificial Intelligence 69

Artificial Intelligence Agriculture Libraries IT 69

CILIP

OCTOBER 26, 2018

s internal data and making it accessible to machines will enable technologies like artificial intelligence. For example, being able to link things ? An early example was Linklater?s s Business Intelligence team which was set up to answer questions like ?we?re s the how, not the what.? New technology.

Artificial Intelligence 40

Artificial Intelligence Unstructured data Data structuring IT 40

IBM Big Data Hub

JULY 17, 2023

Here are five exciting use cases where generative AI is changing the game in customer service: Conversational search: Customers can find the answers they’re looking for quickly, with human-like responses that are generated from finely tuned language models based on company knowledge bases.

Search queries 54

Search queries Customer Experience Cloud Risk 54

IBM Big Data Hub

JANUARY 17, 2024

More advanced chatbots use machine learning , artificial intelligence (AI) and generative AI technology to generate real-time responses based on user input. The bot will use intent recognition to decide and its internal logic and algorithms will determine the appropriate response based on the recognized intent.

Sales 61

Sales Communications Marketing Artificial Intelligence 61

ARMA International

SEPTEMBER 22, 2021

For example, once a health record has met the regulatory requirements, the record can be anonymized and kept for years for such purposes as medical research and predictive analytics. See Table 1 listing some common examples of the “art of the possible. See Table 2 for a few examples.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

AUGUST 31, 2023

Retrieval-augmented generation (RAG) RAG is an AI framework that combines search with generative artificial intelligence to retrieve enterprise-specific information from a search tool or vector database and then generate a conversational answer grounded in that information. Maintaining virtual assistants also requires less effort.

Artificial Intelligence 80

Artificial Intelligence Communications IT 80

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. For example, a financial markets business might offer one product giving a real-time market data feed and another offering finance-related news.

Artificial Intelligence 105

Artificial Intelligence Cloud Analytics Compliance 105

eDiscovery Daily

MAY 20, 2024

Professional Insights and Sessions On the professional front, I learned a great deal, including insights from a session that delved deeply into the world of Generative Artificial Intelligence (GAI). case (based on case data), and legal knowledge (based on general legal knowledge) accuracy.

Artificial Intelligence 41

Artificial Intelligence Data collection Education Communications 41

eSecurity Planet

JULY 12, 2023

For example, Prisma Cloud Enterprise Edition costs $18,000 for 100 credits and a 12-month subscription from AWS Marketplace. For example, one month and 25 assets worth of access to CNAPP Compliance & Network Security cost $625 through AWS Marketplace. For example, Lacework starts at $1,500 per month with an additional $0.01

Cloud 98

Cloud Security Compliance Risk 98

eSecurity Planet

AUGUST 15, 2022

IBM’s solution utilizes artificial intelligence (AI) to accelerate the detection of threats alongside user behavior analytics (UBA) and network flow insights. Access to 350+ cloud connectors for data collection and API-based cloud integrations. Cloud-native platform with on-demand scalability and SaaS subscription pricing.

Analytics 112

Analytics Cloud Compliance Cybersecurity 112

IBM Big Data Hub

JULY 17, 2023

Classify: Read and classify written input with as few as zero examples, such as sorting of customer complaints, threat and vulnerability classification, sentiment analysis, and customer segmentation. Our viewpoint is that a single foundation model will not be the best fit for the wide range of enterprise use cases.

Analytics 62

Analytics Data science Cloud Metadata 62

eDiscovery Daily

MARCH 27, 2018

The show had less focus on eDiscovery this year – and I attribute that to three things: the consolidation of service providers in the space, the perceived maturity of the eDiscovery market (it’s not), and the development of new areas of risk in legal that are sexy – artificial intelligence, blockchain, etc.

e-Discovery 41

e-Discovery e-Delivery GDPR Education 41

IBM Big Data Hub

JULY 7, 2023

Knowledge workers have advanced experience, work collaboratively and are often asked to view problems in a holistic way; these are traits that can also make them good leaders. Knowledge workers can use them to quickly gather information about a topic, search for solutions to business problems and flesh out innovative ideas.

CMS 65

CMS Artificial Intelligence Communications Customer Experience 65