Inflexion Analytics

APRIL 15, 2024

These models are nothing short of digital polymaths, equipped to tackle a wide array of linguistic challenges. Data Efficiency: LLMs require relatively small amounts of domain-specific data to fine-tune. They can quickly adapt to your needs, often with just a fraction of the data required for training from scratch.

Artificial Intelligence 52

Artificial Intelligence Documentation Digital Innovation 52

Astera

JULY 20, 2023

The digital era has ushered in a massive heap of data, presenting businesses with the opportunity to exchange information with their partners and stakeholders more effectively. According to an IDC study , the volume of digital data generated worldwide is projected to reach a staggering 175 zettabytes by 2025.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Analysts Corner

AUGUST 11, 2022

Or is this due to the pressing need for digital transformation triggered by the pandemic? The type of data dictates your choice of a cloud hosting service provider and its features. Dealing with such data requires utmost security and compliance with HIPAA standards. Is it because of cost-saving and pursuit of flexibility?

IBM Support 130

IBM Support IBM Maintenance IBM cost Digital Transformation 130

Whizlabs

APRIL 21, 2021

As the IT world is flourishing, Amazon Glacier is the cold ideal storage platform by AWS for taking care of the crucial inactive data that plays a vital role in helping the businesses thrive. Different types of data require different storage requirements. Storing and Retrieving Digital Media Assets.

Healthcare 97

Healthcare Government Digital Finance 97

Astera

SEPTEMBER 21, 2022

It really affects the ability to respond to changing data requirements quickly.” ” Using Astera Data Services, businesses can create a connected ecosystem with seamless data sharing to rapidly deliver new digital solutions, foster new partnerships, and enhance customer experience.

Big Data 52

Big Data Customer Experience Customer Experience Government 52

Ntara

JANUARY 19, 2022

Research shows you what your actual customers want and need, and that is critical to moving products on the digital shelf. . But the online store is a digital shelf where people don’t walk down aisles. As you likely know by now, better site search is driven by better product data. Optimize for Google .

Retail 98

Retail Digital Data Requirement 98

Smart Data Collective

NOVEMBER 6, 2019

As a result, big companies like Facebook and Google severely limit your ability to market digitally. Big data can help with this. If you know how to gather, analyze, and apply big data to your marketing strategy, you’ll have no trouble putting your company at the top of the industry!

Big Data 121

Big Data Digital Data Requirement 121

Astera

APRIL 28, 2023

The sheer volume of data makes extracting insights and identifying trends difficult, resulting in missed opportunities and lost revenue. Additionally, traditional data management systems are not equipped to handle the complexity of modern data sources, such as social media, mobile devices, and digitized documents.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Bridging the Gap

FEBRUARY 16, 2023

My go-to Change Request Form is included in the Business Analyst Template Toolkit , which is one of our most popular digital products. A change request could be related to the business requirements, the stakeholder requirements, the functional requirements , the data requirements. Any aspect of the project.

Documentation 98

Documentation Planning Business Analysis Business Analysis 98

Astera

DECEMBER 12, 2023

It involves creating and exposing APIs that encapsulate specific functionalities or data sets, allowing different systems to interact and share information in a secure and controlled manner. API-led connectivity revolutionizes digital interactions. Why is API-led Connectivity Important? It transforms customer experiences.

E-Commerce 52

E-Commerce Monitoring User Experience Banking 52

Actian

SEPTEMBER 12, 2019

Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations.

Data Requirement 8

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 8

Astera

AUGUST 22, 2023

By substituting manual and paper-based procedures, which are often riddled with errors and delays, businesses can employ a digital system. This system promotes quick and precise transactions, thereby driving efficiency and cost-effectiveness in data management. In healthcare, managing vast amounts of data is an everyday task.

Healthcare 52

Healthcare Data Management Supply Chain Pharmaceutical 52

Astera

AUGUST 15, 2023

Benefits of EDI in the Mortgage Industry: Streamlined Processes: EDI eliminates the need for manual data entry, reducing errors and accelerating transaction processing. Enhanced Efficiency: By digitizing and automating data exchange, EDI improves operational efficiency within the mortgage industry.

Finance 52

Finance Data Security Customer Experience Customer Experience 52

Astera

DECEMBER 12, 2023

It involves creating and exposing APIs that encapsulate specific functionalities or data sets, allowing different systems to interact and share information in a secure and controlled manner. API-led connectivity revolutionizes digital interactions. Why is API-led Connectivity Important? It transforms customer experiences.

E-Commerce 40

E-Commerce Monitoring User Experience Banking 40

Astera

JUNE 14, 2023

With the ability to extract key data from digitized or image-based invoices, these software solutions are helping businesses save time and money while increasing efficiency. OCR is a type of technology that uses image analysis to identify text in an image and convert it into a digital format.

Documentation 40

Documentation Digital Banking Data Security 40

GAVS Technology

AUGUST 17, 2021

Following actions are taken to minimize privacy challenges: Better Data Hygiene: Only the data required for the use case is captured/stored Use of Accurate Datasets: Quality of AI models is enhanced by training with accurate datasets User Control: Users are informed of their data being used and asked for consent.

Cybersecurity 40

Cybersecurity Healthcare Artificial Intelligence Government 40

Netmind

MARCH 9, 2021

There will be multiple ways to visualize and use the data, but the intent is to do it without corrupting the validity of the data obtained. Today, the widespread use of software tools in digital companies provides us with massive amounts of data. How do we ensure good data governance? Information.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

APRIL 29, 2024

IDC predicts that by 2025, the worldwide volume of data is expected to expand by 163 zettabytes, covering information across physical systems, devices, and clouds. Processing and managing such a large amount of data requires an effective data governance strategy. It is needed to navigate the complexities of data systems.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Netmind

NOVEMBER 1, 2020

There will be multiple ways to visualize and use the data, but the intent is to do it without corrupting the validity of the data obtained. Today, the widespread use of software tools in digital companies provides us with massive amounts of data. How do we ensure good data governance? Information.

Data Governance 52

Data Governance Government Data Requirement Vision 52

The BAWorld

NOVEMBER 24, 2023

As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Healthcare 52

Astera

JANUARY 2, 2024

It serves as a blueprint that guides the design and implementation of databases and ensures that data is stored and accessed in a logical and efficient manner. Data Management Benefits Staying competitive in today’s digital business landscape calls for organizations to ensure their decision-making is powered by healthy data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Whizlabs

DECEMBER 13, 2020

Furthermore, augmentation of digital apps and automation of end-to-end user flows and testing would not require any coding anymore. The configuration insights will be an important aspect of DevOps trends empowering DevOps teams with data required for making informed decisions. Also Check: Top DevOps Certifications.

Monitoring 98

Monitoring Digital Transformation Product Management Product Management 98

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Use by business units, departments or specific roles within the organization that have a need to analyze and report and require high quality data and good performance. Advantages: Can provide secured access to data required by certain team members and business units.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Use by business units, departments or specific roles within the organization that have a need to analyze and report and require high quality data and good performance. Advantages: Can provide secured access to data required by certain team members and business units.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Astera

NOVEMBER 28, 2023

Data plays a significant role in business growth and digital initiatives for approximately 94% of enterprises. However, the full potential of these data assets often remains untapped, primarily due to the scattered nature of the data. Your goals will guide the design, complexity, and scalability of your pipeline.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

MAY 26, 2023

Here, the system is running on self-service which means that invoices are captured automatically as they arrive digitally through email alerts. AI-Template based Data Extraction: It then uses AI-template based data extraction for pulling data from captured invoices, irrespective of their layouts.

Retail 40

Retail Supply Chain Finance Data Quality 40

Argon Digital

AUGUST 4, 2022

Using this draft, I can plan elicitation with my subject matter experts (SME) which will not only allow me to correct and finish the model but will also turf up (pun intended) data requirements which I’ll need to document.

Banking 52

Banking Documentation Visualization Data Modelling 52

Argon Digital

AUGUST 4, 2022

Using this draft, I can plan elicitation with my subject matter experts (SME) which will not only allow me to correct and finish the model but will also turf up (pun intended) data requirements which I’ll need to document.

Banking 52

Banking Documentation Visualization Data Modelling 52

Astera

MARCH 20, 2024

Why is Enterprise Data Management Important? The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

JANUARY 12, 2024

Factors like data complexity, scalability, organizational culture, compliance obligations, available resources, and overall business goals should be considered to determine the right fit, enabling an organization to unlock the true value of its data assets.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Data Pine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? Big data visualization tools create transparency across the board, breaking down silos and empowering brands to work as one cohesive network, rather than disjointed entities.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Astera

NOVEMBER 1, 2023

Scalability: Data warehouses can expand their storage and processing capacity as data volumes grow, so they can easily accommodate the increasing demands of an organization. In contrast to a data warehouse, a database is a structured collection of data designed to support transactional operations. What is a Database?

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Smart Data Collective

JULY 9, 2023

The Importance of ETL in Business Decision Making ETL plays a critical role in enabling organisations to make data-driven decisions. Data Integration and Consistency In today’s digital landscape, organisations accumulate data from a wide array of sources.

Data Warehouse 215

Data Warehouse Data Quality Data Analytics Data Analytics 215

Smart Data Collective

SEPTEMBER 21, 2021

The data contained can be both structured and unstructured and available in a variety of formats such as files, database applications, SaaS applications, etc. Processing such kinds of data require advanced technologies from ELT processing to real-time streaming. Each business entity has its own hyper-performance micro-database.

Data Management 262

Data Management Government Data Quality Data Discovery 262

Actian

JULY 31, 2019

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8