CIO

AUGUST 7, 2023

Still, it’s worth remembering that we’ve seen this movie before, with companies piling into exciting new technologies with a melee of premature experiments and pilots. They can bring a pragmatic technology lens to determine when and where gen AI can generate the greatest value — and where it is not the best option.

Generative AI 246

Generative AI Off-The-Shelf Architecture Infrastructure 246

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

O'Reilly Media - Data

AUGUST 16, 2018

Today’s data science and data engineering teams work with a variety of machine learning libraries, data ingestion, and data storage technologies. Risk and compliance considerations mean that the ability to reproduce machine learning workflows is essential to meet audits in certain application domains.

Machine Learning 105

Machine Learning Artificial Inteligence Data Engineering Compliance 105

AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 87

Big Data Technology Tools Cloud 87

CIO

JULY 14, 2023

CIOs want to take advantage of this but on their terms—and their own data. As so often happens with new technologies, the question is whether to build or buy. To get good output, you need to create a data environment that can be consumed by the model,” he says.

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

TIBCO - Connected Intelligence

MARCH 5, 2020

Over the past sixty years, technology has redefined how people live and work, how commerce occurs, how citizens and governments engage, and so much more. With digital transformation critical to every organization’s survival, it makes sense that organizations want to leverage and gain advantage from technology advancements.

Technology 42

Technology Games Trends IoT 42

d2iq

JANUARY 18, 2022

It satisfies the organization’s security and compliance requirements, thus minimizing operational friction and meeting the needs of all teams involved in a successful ML project. Complexity: There are lots of cloud-native and AI/ML tools on the market. Read the blog to learn more about D2iQ Kaptain on Amazon Web Services (AWS).

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

OTS Solutions

MARCH 14, 2019

This investment in AI technology is expected to continue. However, the ability to scale AI technology is still being thwarted by business priorities that shift in the battle between different strategies. Are any compliance controls put in place? Include Responsibility and Accountability. Practice Participatory Design.

Artificial Inteligence 140

Artificial Inteligence Artificial Intelligence Strategy Technical Review 140

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cloud 84

Cloud Government Storage Analytics 84

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. The top factors leading to respondents choosing proprietary databases included greater stability (68%), more security (63%), and regulatory compliance (61%).

Open Source 52

Open Source Database Administration Survey AWS 52

Mentormate

JANUARY 11, 2022

With hundreds of active clients and projects each year, MentorMate is in an excellent position to share our perspective on what’s happening across different industries, technology stacks, and business environments from startup to enterprise. Technology is an enabler. Mobile, web, and server technologies need upskilling.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

Mentormate

OCTOBER 31, 2023

The allure of the latest machine-learning techniques is undeniable, but without a well-structured approach, you risk getting lost in the technological maze. In the world of AI, success hinges not only on technological prowess but also on aligning your solutions with the broader business strategy.

Artificial Inteligence 98

Artificial Inteligence Healthcare Budget Training 98

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. We’re skeptical about things like job displacement, at least in technology. This has been a strange year. What will those changes be?

Trends 119

Trends Technical Review Technology Artificial Inteligence 119

InnovationM

MAY 14, 2023

Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. They help establish data lineage, enable data discovery, and enforce compliance with data governance policies.

Data 52

Data Storage Construction Business Intelligence 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

TIBCO - Connected Intelligence

OCTOBER 15, 2020

One of the best aspects of working in technology is getting a front-row seat to continuous innovation. That’s part of why I was excited to attend the “What’s New and What’s Next for TIBCO® Data Virtualization ” session at our recent TIBCO NOW event. . Data virtualization works like a ‘Swiss Army knife for data.’

Virtualization 50

Virtualization Data Energy Innovation 50

Capgemini

NOVEMBER 14, 2022

For self-service BI to succeed, however, the entire data value chain may need to be fixed. Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users. A data catalog for trust. First, though, users need to find the data.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020. In 2019, CIOs will have to optimize applications of the newest cloud technology in response to their requirements.

Cloud 78

Cloud Google Cloud Azure AWS 78

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. We deliver on proven technology on-premise or in the cloud, globally.

Data 80

Data Analytics Cloud Technical Review 80

Lacework

NOVEMBER 1, 2023

In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. 1 [link] 2 [link] 3 [link] 4 [link] 5 [link] 6 [link] 7 [link]

System Design 52

System Design Systems Review System Data 52

Cloudera

DECEMBER 10, 2020

These file formats not only help avoid data duplication into proprietary storage formats but also provide highly efficient storage formats. Multiple analytical engines (data warehousing, machine learning, data engineering, and so on) can operate on the same data in these file formats.

Data 98

Data Technical Review Storage Systems Review 98

O'Reilly Media - Ideas

MARCH 1, 2023

Our data shows us what O’Reilly’s 2.8 That’s a better measure of technology trends than anything that happens among the Twitterati. But other technology topics (including some favorites) are hitting plateaus or even declining. What’s real, and what isn’t? While we don’t discuss the economy as such, it’s always in the background.

Trends 137

Trends Technical Review Technology Software Review 137

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance.

Data 46

Data Government Big Data Compliance 46

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 84

Insurance Compliance Technical Review Banking 84

TIBCO - Connected Intelligence

APRIL 15, 2021

Compressing your data capture to analyze to get insight to decide to act cycle is key. Data related regulations continue to grow. Compliance with new regulations is not optional as governments respond to citizens’ privacy protections, data security, AI/ML bias, and other data-related threats. Click To Tweet.

Analytics 41

Analytics Development Team Review Technical Review Data 41

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Efficient metadata management ensures data integrity , consistency, trustworthiness, and compliance. Data governance.

Tools 59

Tools Technical Review Software Review Systems Review 59

TIBCO - Connected Intelligence

JUNE 16, 2021

Business insight : Facilitate better strategic and operational business decision-making by providing governed, documented, and easy access to current and historical customer data. Cost reduction : Reduce technology costs by effectively managing large volumes of customer data. ” That is a big list.

Data 29

Data Weak Development Team Virtualization Compliance 29

Cloudera

OCTOBER 19, 2023

The consolidation wave Another consideration is a likely wave of consolidation driven by the desire among larger telcos to distribute the burden of technological investment, leverage economies of scale, gain competitive advantages in existing markets, or expand into new markets.

Data 73

Data Compliance Architecture Data Engineering 73

Existek

JANUARY 11, 2022

Over the following years, they offered different products to cover computing, storage, database, security, data flow, migration, etc. AWS delivered a significant contribution to cloud computing through the power of data analytics, AI, and other innovative technologies. Security, identity, and compliance. Business apps.

Azure 52

Azure AWS Cloud How To 52

DataRobot

MARCH 10, 2022

As a result of these technological advancements, the manufacturing industry has set its sights on artificial intelligence and automation to enhance services through efficiency gains and lowering operational expenses. Python is unarguably the most broadly used programming language throughout the data science community.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

O'Reilly Media - Data

SEPTEMBER 24, 2018

Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. The organizations don’t realize that data science stands on the shoulders of DataOps and data engineering giants. Let's call these operational teams that focus on big data: DataOps teams.

Enterprise 199

Enterprise Data Big Data Disaster Recovery 199

Altexsoft

NOVEMBER 5, 2021

So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. It employs the REST API design, making it possible for third-party apps to access data stored in HISs. Data quality management.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

JUNE 11, 2021

Before actually launching RPA, process mining was implemented to understand process variations and non-compliances and prepare for automation. Besides, since such projects involve operating advanced software tools, it can turn out that companies lack the needed specialists and have to hire business analysts and data engineers.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

JUNE 6, 2019

For this article, we discussed current and potential applications of AI in retail, as well as the state of the industry in general, including factors that drive adoption of cognitive technologies. The JD stores use RFID (radio frequency identification), facial recognition, and image recognition technology to monitor retail activity.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We For Guadagno, the need to match vaccine availability with patient demand came at the right moment, technologically speaking. Enter the data lakehouse. You can intuitively query the data from the data lake.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350