Dataversity

NOVEMBER 15, 2021

Cybersecurity is increasingly leaning towards artificial intelligence (AI) to help mitigate threats because of the innate ability AI has to turn big data into actionable insights. Rightly so, because the threat to data security is real, and across all industries.

Cybersecurity 130

Cybersecurity Artificial Intelligence Data Security Big Data 130

Dataversity

NOVEMBER 20, 2023

In the ever-evolving landscape of the modern business world, generative artificial intelligence (GenAI) is taking the industry by storm. Companies increasingly recognize the transformative potential of GenAI and machine learning.

Cloud Computing 176

Cloud Computing Artificial Intelligence Data Architecture Data Security 176

Dataversity

OCTOBER 26, 2023

In the era of data-driven technologies, artificial intelligence (AI) and machine learning (ML) platforms depend on vast amounts of reliable and consistent data. The need for a secure, unalterable data foundation is paramount, and immutable storage has emerged as a vital tool to meet this demand.

Artificial Intelligence 157

Artificial Intelligence Data Architecture Data Security 157

Fingent

DECEMBER 2, 2021

Some of these challenges are revenue pressure, data security, customer service management, data collection and analysis, risk management, and so on. AI (Artificial Intelligence) has gained recognition […]. The pandemic is now the biggest and most critical challenge of traditional banking.

Banking 122

Banking Artificial Intelligence Data Security Digital Transformation 122

Smart Data Collective

OCTOBER 25, 2023

The Science Behind AI Prompts: Making Machines Think The marvel of AI prompts isn’t just a stroke of luck; it’s the result of rigorous research and development in the field of artificial intelligence. Bias and Fairness: AI systems, including chatbots, can inadvertently perpetuate biases present in their training data.

E-Commerce 261

E-Commerce Artificial Intelligence User Experience Monitoring 261

Smart Data Collective

SEPTEMBER 8, 2022

Data security and cybersecurity have often been treated as two fields separate from one another. Data security is more about safe storage and prevention of compromised access that might lead to a breach or altered and misused data within the network. In reality, they are the two sides of the same coin.

Cybersecurity 281

Cybersecurity Artificial Intelligence Data Security Digital 281

The Data Administration Newsletter

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.

Artificial Intelligence 98

Artificial Intelligence Data Security Data Management Data Architecture 98

Smart Data Collective

JUNE 24, 2021

There is no getting around the growing concerns of data privacy. But artificial intelligence (AI) has helped solve them. However, in doing so, they also put the privacy and confidentiality of user’s data at the risk of unauthorized access. Apart from maximizing productivity, it increased the precision of performing tasks.

Artificial Intelligence 177

Artificial Intelligence Government Data Security Data Management 177

Cprime

JANUARY 30, 2024

What is the significance of AI in healthcare data security? Artificial Intelligence (AI) is reshaping healthcare, promising transformative changes across diagnostics, treatment, and operational efficiency. The future of AI in healthcare regarding patient privacy and data security is a complex and evolving landscape.

Healthcare 52

Healthcare Innovation Artificial Intelligence Cybersecurity 52

Smart Data Collective

AUGUST 27, 2019

The algorithms are then used to update the Artificial Intelligence and Machine Learning systems. This way, you invoke a more targeted security approach that guarantees a relatively strengthened security system. What Is The Relationship Between Data Science And Cybersecurity? Bottom Line.

Cybersecurity 208

Cybersecurity Data Security Artificial Intelligence Big Data 208

Analysts Corner

SEPTEMBER 25, 2023

In a world increasingly driven by artificial intelligence (AI), innovative companies continually explore new ways to integrate AI technology into their operations to create more efficient, personalized, and sophisticated services. A prime example is J.P. Morgan, the largest bank in the U.S., To address these challenges, J.P.

Finance 130

Finance Artificial Intelligence Cybersecurity Banking 130

Dataversity

JUNE 3, 2021

A recent survey of C-suite, information technology, and artificial intelligence practitioners offers interesting insights on the enablement of digital capabilities using cloud-based data capabilities. For instance, 68% of IT practitioners said they are using the cloud to store most of their data.

Artificial Intelligence 130

Artificial Intelligence Information Technology Information Technology Digital 130

Analysts Corner

OCTOBER 26, 2023

Techniques Used in Business Intelligence There are several techniques commonly used in Business Intelligence to analyze and derive insights from data: Data Mining: Data mining involves the exploration and analysis of large data sets to discover patterns, trends, and relationships that can be used to make informed decisions and predictions.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Astera

JANUARY 29, 2024

These insights touch upon: The growing importance of protecting data. The role of data governance. Resolving data security issues. “Data privacy is becoming more and more important as our data resides with so many companies. The impact of industry regulations. Balancing the benefits and risks of AI.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

Smart Data Collective

JULY 23, 2021

Artificial intelligence has played a very important role in modern cyber attacks. An APT attack will not just affect organizations, institutions, and businesses but will put common individuals’ data security and privacy at risk due to the far-reaching nature of such an attack.

Cybersecurity 349

Cybersecurity Supply Chain Government Artificial Intelligence 349

Smart Data Collective

JULY 9, 2023

Safeguarding Customer Data and Privacy Safeguarding customer data is crucial to maintaining trust and protecting sensitive information. Use secure payment gateways, encrypt customer information, and regularly update security protocols.

E-Commerce 182

E-Commerce Data Analytics Data Analytics Big Data 182

Smart Data Collective

FEBRUARY 20, 2022

As part of AWS Managed Services, you can automate common tasks such as change requests, monitoring, patch management, security, and backup services, and you can provide full-lifecycle services to provision, run, and support your infrastructure. Artificial intelligence (AI).

Cloud Computing 287

Cloud Computing Artificial Intelligence Monitoring Data Security 287

Argon Digital

JUNE 14, 2023

By leveraging Ephesoft’s advanced features, government agencies can streamline their operations, improve productivity, and enhance data security. Compliance and Data Security: Government agencies deal with sensitive and confidential information.

Government 52

Government Documentation Data Security Artificial Intelligence 52

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

Business Intelligence 254

Business Intelligence Business Intelligence Predictive Analytics Data Discovery 254

Cprime

MARCH 19, 2024

The Current Landscape of AI in Software Development The integration of Artificial Intelligence into software development is not just a trend but a significant shift in how software teams approach their projects. Large organizations, in particular, cite data privacy as their primary challenge in adopting AI tools.

Innovation 98

Innovation Artificial Intelligence Data Security 98

Argon Digital

SEPTEMBER 14, 2023

Understanding the Power of Ephesoft Ephesoft is a cutting-edge intelligent document processing software that empowers organizations to automate document capture, classification, and data extraction. This technology is a game-changer for businesses seeking to maximize productivity, reduce manual data entry, and ensure compliance.

Documentation 52

Documentation Artificial Intelligence Product Management Product Management 52

Astera

SEPTEMBER 25, 2022

Astera Data Platform solutions inherit all the benefits and functionalities of the previous version and open new avenues for seamless data management for our users. This update is an interesting incursion for us into the Artificial Intelligence space. Astera Data Platform 10.0 Microsoft Azure Blob.

Artificial Intelligence 52

Artificial Intelligence Data Security Data Management Documentation 52

Argon Digital

JUNE 23, 2023

Technology advancements such as artificial intelligence (AI), machine learning, data analytics, and cloud computing have disrupted traditional insurance practices. These technologies facilitate data-driven decision-making, predictive modeling, personalized customer experiences, and robust risk management.

Healthcare 52

Healthcare Supply Chain Artificial Intelligence Cloud Computing 52

Astera

JUNE 28, 2023

Automated Data Extraction for the Legal Fraternity Automated data extraction refers to the process of utilizing advanced artificial intelligence (AI) algorithms and machine learning (ML) techniques to automatically identify and extract valuable information from various sources.

Documentation 40

Documentation Artificial Intelligence Data Security Innovation 40

Business Analysis Knowledge Share

OCTOBER 27, 2023

Data Security and Compliance : Implement robust security measures and adhere to data privacy regulations to protect sensitive information. These technologies can automate data analysis, detect complex patterns, and provide predictive insights, further enhancing the value of BI projects.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Tableau

MAY 11, 2022

Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. At their most basic level, data fabrics leverage artificial intelligence and machine learning to unify and securely manage disparate data sources without migrating them to a centralized location.

Data Warehouse 94

Data Warehouse Government Artificial Intelligence Data Discovery 94

Tableau

MAY 11, 2022

Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. At their most basic level, data fabrics leverage artificial intelligence and machine learning to unify and securely manage disparate data sources without migrating them to a centralized location.

Data Warehouse 92

Data Warehouse Government Artificial Intelligence Data Discovery 92

Astera

JUNE 28, 2023

They stand to benefit immensely from the power of artificial intelligence (AI). Data Security: The legal field carries a mandatory responsibility for confidentiality. Your chosen tool must adhere to stringent data security standards and regulations to ensure client information remains secure.

Documentation 40

Documentation Artificial Intelligence Data Security Predictive Analytics 40

Whizlabs

JUNE 29, 2021

With a sudden growth in the cloud infrastructure during the coronavirus pandemic, communication about data security on cloud services has started. The forecasters believe that governance tools and data security are now going to be an integral part of all business processes. Artificial Intelligence Engineering.

Cloud Computing 98

Cloud Computing Data Security Data Governance Government 98

Argon Digital

MAY 19, 2023

Enterprise Content Management Platform M-Files is a unique ECM platform (or document management software) that leverages metadata-driven architecture and artificial intelligence (AI) to revolutionize content management. It also facilitates seamless collaboration through shared workspaces and document co-authoring.

Documentation 52

Documentation Artificial Intelligence Digital Digital Transformation 52

Astera

MAY 4, 2023

The GDPR also includes requirements for data minimization, data accuracy, and data security, which can be particularly applicable to the use of AI-based document processing. There are also several industry-specific regulations that may apply to the use of AI-based document processing.

Documentation 40

Documentation Artificial Intelligence Data Security Monitoring 40

Astera

AUGUST 15, 2023

Security Audits: Ensure regular security audits to identify vulnerabilities, assess the effectiveness of security controls, and ensure compliance with security standards. Security Concerns: As EDI involves the electronic exchange of sensitive financial and personal data, security is a paramount concern.

Finance 52

Finance Data Security Customer Experience Customer Experience 52

Cprime

MARCH 7, 2024

Data Leakage Risk: There is a potential risk of data leakage with public LLMs as they might inadvertently memorize sensitive information from the training data. Data Security Principles: The data security principle of ‘least privilege’ is often at odds with the operational mechanism of public LLMs.

Data Mining 52

Data Mining Data Security Banking Monitoring 52

Astera

MAY 24, 2023

Thanks to the rise of artificial intelligence (AI) and automation, working with this data has become easier and more efficient. Look for tools that offer strong encryption and comply with data protection regulations like GDPR or CCPA.

Retail 40

Retail Artificial Intelligence Data Management Data Warehouse 40

Cprime

JANUARY 23, 2024

Data Security and Privacy Concerns Data security and privacy are critical concerns in generative AI deployment. Functional risks like model drift and data poisoning require continuous monitoring and model retraining.

Healthcare 52

Healthcare Cybersecurity Government Data Security 52

Smart Data Collective

JANUARY 4, 2023

100% data security and easy-to-use. Amazing AI-based image Upscaler fills up the mixing pixels in pictures automatically. Pros & Cons. Anime image enhancement with batch-mode processing. Speedily upscale any low-quality picture. Different AI upscaling models.

Data Security 260

Data Security Innovation Artificial Intelligence 260

Cprime

SEPTEMBER 13, 2023

These limitations can impact everything from the quality of the output to data security, and being aware of them is crucial for responsible and effective use. Data security concerns Data security is a significant concern, especially for enterprises dealing with sensitive or confidential information.

Innovation 52

Innovation Data Security Healthcare Finance 52