Altexsoft

JUNE 11, 2021

Before actually launching RPA, process mining was implemented to understand process variations and non-compliances and prepare for automation. Besides, they hired a data scientist to further discover opportunities for process improvement and trained more people in big data. Build the team. Payment is processed.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Self-scripted tools.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

NOVEMBER 9, 2021

Whether a new or existing contract, it has to be thoroughly reviewed to ensure clear, unambiguous phrasing of all clauses and variations, compliance to current regulations, absence of hidden risks, pitfalls, or fees, and so on. Compliance evaluation. Invoice and payment analytics to detect errors, compliance issues, and fraud.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Assemble the data team. Supply chain management process.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

TIBCO - Connected Intelligence

JUNE 16, 2021

Knowing your customers, what they already have, what they like, and how they want to engage lets you provide data-driven, personalized offers that are sure to delight. One bad experience can put your relationship at risk. Like every enterprise today, our clients know that data is critical to everything they do with their customers.

Data 29

Data Weak Development Team Virtualization Compliance 29

O'Reilly Media - Ideas

MARCH 1, 2023

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

Trends 134

Trends Technical Review Technology Software Review 134

O'Reilly Media - Ideas

MARCH 31, 2020

You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.

Product Management 137

Product Management Artificial Inteligence Machine Learning Software Review 137

O'Reilly Media - Data

MARCH 22, 2018

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., In fact, the ability to account for the fairness and transparency of these predictive models has been mandated for legal compliance.

Off-The-Shelf 117

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 117

Altexsoft

SEPTEMBER 9, 2022

Metadata storage usually implies developing a specialized repository. Efficient metadata management ensures data integrity , consistency, trustworthiness, and compliance. Some schemas were developed by national and international communities and adopted for wider usage. In this case, they become standards.

Tools 59

Tools Technical Review Software Review Systems Review 59

Cloudera

DECEMBER 10, 2020

Data warehouses have been broadly adopted to provide timely reports and valuable insights. They require skilled central IT teams to tackle technical complexities and long lead times in planning, procuring, and provisioning. In a multi-tenant environment, many users access the same data sources. CDW minimizes contention.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

SEPTEMBER 23, 2019

There’s a large variety of analytical activities when we’re talking about software development. In this article, we’ll explain what business analysis in software development is and the role of a business analyst (BA) within this process. Who is a Business Analyst in Software Development? Planning development activities.

Weak Development Team 62

Weak Development Team Software Development Research Project Management 62

BPM

JANUARY 18, 2019

So BPM is today another form of low-code application development. That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. Success will require teams to listen to the business not just to the data. All of them virtually not true.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

JANUARY 25, 2022

AI is making that transition now; we can see it in our data. What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers?

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Compliance Technical Review Banking 88

Altexsoft

JUNE 6, 2019

Forrester Consulting discovered that poor checkout experience and long lines are the third highest reason grocers would skip the line and shop in a different place. Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. JD.com’s chain of unmanned stores.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Altexsoft

MARCH 2, 2023

The specific data governance model that an organization adopts depends on various factors, such as its size, complexity, industry, and regulatory environment. Data governance models with pros and cons. Benefits include improved representation, better data, increased efficiency, and shared maintenance. Compliance.

Government 52

Government Tools Data Weak Development Team 52

John Snow Labs

MAY 24, 2023

Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case. Developing such tools from scratch is a highly time-consuming and an effort-intensive process. – It offers documentation and live demos for ease of use.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

O'Reilly Media - Ideas

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 131

Enterprise Survey Technical Review Weak Development Team 131

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Data lake architecture example. Poor data quality, reliability, and integrity. Issues with data security and governance.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

MARCH 2, 2021

In many cases, it’s the difference between creating an outstanding customer experience versus a poor one – or losing the customer altogether. However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. A rare breed.

Data 112

Data Weak Development Team Data Engineering Scalability 112