CIO

NOVEMBER 29, 2022

C-suite leaders must have confidence in the data they have on hand to fuel business processes, deliver customer and employee experiences, and improve their operational analytics and insights. With organizations grappling with how best to streamline data management and compliance, there are four key considerations in doing it effectively.

Government 238

Government Data Compliance Malware 238

CIO

JANUARY 9, 2023

2] Here, we explore the demands and opportunities of edge computing and how an approach to Business Outcomes-as-a-Service can provide end-to-end analytics with lowered operational risk. It’s bringing advanced analytics and AI capabilities where they’re needed most – the edge. And they’re achieving significant wins. [2]

IoT 317

IoT Technical Review Company Data 317

CIO

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. Data-related decisions, processes, and controls subject to data governance must be auditable.

Government 357

Government Data Technical Review Policies 357

TechCrunch

MAY 24, 2022

The company initially focused on helping utility customers reduce their electricity costs by shaving demand or turning to battery storage. So that we spend a lot of time modeling and coming up with new optimization algorithms to really help the customer make the economics work for battery storage.” . founder and CEO Wenbo Shi said. “So

Energy 209

Energy Artificial Inteligence Machine Learning Storage 209

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 91

Analytics Network Innovation IoT 91

CIO

DECEMBER 22, 2023

Skills: Relevant skills for a cloud systems engineer include networking, automation and scripting, Python, PowerShell, automation, security and compliance, containerization, database management, disaster recovery, and performance optimization. Role growth: 16% of companies have added cloud consultants as part of their cloud investments.

Cloud 316

Cloud Company Disaster Recovery Software Engineering 316

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 107

Analytics Open Source Government Machine Learning 107

Hu's Place - HitachiVantara

JUNE 18, 2019

There has been a growing buzz from analysts and thought leaders on the growing role of object storage in the data center. The All Flash G Series Access node for HCP has unlocked new uses for object storage. Krista Macomber of Storage Switzerland reviews our recent enhancement to HCP in Hitachi Vantara Updates it Content Platform.

Storage 66

Storage Software Review Banking Technical Review 66

CIO

AUGUST 2, 2023

1 Meeting security, privacy, and compliance ( [link] regulations and protecting data access and integrity ( [link] ) aren’t the end of the data sovereignty journey. In France and Austria, organizations were told to stop using Google Analytics as it could expose the personal data of EU citizens to American “spying.”

Mobile 228

Mobile Data Technical Review Compliance 228

CIO

JULY 25, 2022

While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprecedented situation, auditors assessed the increased data vulnerability, lack of data compliance, and costs incurred by such events. Meet compliance regulations. 2. Build customer trust. Boost subscription-based purchases.

Security 249

Security Data Compliance Enterprise 249

Perficient

DECEMBER 13, 2023

Data Analyses To get insights from such vast and diverse data sets, an appropriate analytical tool is essential. Regulatory Compliance Obligations Healthcare must comply with various laws and regulations, for example, HIPPA, which makes it essential that the systems, vendors, and processes managing the sensitive data are also compliant.

Healthcare 52

Healthcare AWS Lambda Data 52

TechCrunch

AUGUST 25, 2021

At a time when remote work, cybersecurity attacks and increased privacy and compliance requirements threaten a company’s data, more companies are collecting and storing their observability data, but are being locked in with vendors or have difficulty accessing the data. Enter Cribl. billion, according to a source close to the company.

Enterprise 247

Enterprise Data Weak Development Team Storage 247

Cloudera

APRIL 2, 2024

Purpose Built for Security Here at Cloudera, we focus on ensuring that our platform meets the highest standards of security and regulatory compliance. With independent operation from compute and storage layers, Cloudera ensures that security and governance are foundational elements of our platform.

Government 96

Government Technical Review Generative AI Meeting 96

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. To power our customers’ data, AI, and analytics needs, we are unveiling the next phase of our open data lakehouse , featuring several enhancements built to quickly scale enterprise AI and deliver unprecedented business value.

Data 87

Data Data Center Analytics Artificial Intelligence 87

CIO

JUNE 23, 2023

When asked what keeps them up at night, IT leaders noted the need to improve overall IT performance (60%), followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%). It can be a stressful pursuit for IT leaders – but it doesn’t need to be.

Technical Review 244

Technical Review Artificial Intelligence Artificial Inteligence Software Review 244

CIO

JANUARY 12, 2023

Here’s how edge computing works: a percentage of storage and compute resources move closer to the source of the data and away from the data center. They also see significant gains in areas such as regulatory compliance, process automation and business intelligence. [5]

Technical Review 189

Technical Review Technology Innovation Data Center 189

KitelyTech

FEBRUARY 28, 2023

The scalability of cloud services allows banks to increase or decrease their storage and processing capacity based on changing demand levels. Using cloud computing technology helps ensure compliance with banking regulations since they can easily manage security protocols in the cloud environment.

Banking 104

Banking Cloud Compliance Scalability 104

The Crazy Programmer

MAY 12, 2021

Choosing the right data storage solution will depend greatly on how the data is going to be used. While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. Data lakes work great to store historical data and support compliance.

Data 162

Data Healthcare IoT Pharmaceuticals 162

Crunchbase News

FEBRUARY 23, 2024

Using Stripe also lets you avoid the cost, complexity and compliance burden of maintaining your own payments infrastructure, while simplifying and standardizing your accounting and back-office reporting. Notifications, analytics, storage, marketing comms, compliance scans, transactional messages, login?

Infrastructure 83

Infrastructure Off-The-Shelf Weak Development Team Film 83

Perficient

MARCH 15, 2024

Both Snowflake and Databricks leverage cloud providers for storage. Both Snowflake and Databricks are cloud-native and both make use of the storage options for AWS, Azure and GCP. When you create an external table in Databricks , you are combining a storage path with a storage credential.

Storage 52

Storage Government Analytics Data 52

CIO

JULY 20, 2023

Workflow automation and data analytics are streamlining document management, cross-checking data, assessing for risk, ensuring regulatory compliance, and so on. Banking professionals recognize the importance of security and cutting-edge data storage technology in an industry that is a prime target for cyber attacks.

Technical Review 246

Technical Review Banking Innovation Technology 246

CIO

DECEMBER 19, 2023

That comes with the ability to create a storage infrastructure–or even create their own private cloud – that can be used going forward like a private cloud for each agency. Data lakes store raw data that can be used for various purposes, mostly focused on analytics, machine learning, and data visualization.

Government 252

Government Artificial Inteligence Cloud Data 252

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Sunflower Lab

MARCH 13, 2024

Core Features of Power BI for Supply Chain Analytics From seamless data connectivity to intuitive visualization capabilities and seamless integration with other Microsoft products, Power BI emerges as a vital asset in optimizing supply chain operations.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

Infinidat

DECEMBER 5, 2023

One of those many projects that NIST creates is the Special Publication (SP) 800 Series, which presents information of interest to the computer security community - it developed NIST SP 800-209 (2020) Security Guidelines for Storage Infrastructure.

Security 60

Security Guidelines Storage Infrastructure 60

CIO

JUNE 9, 2023

Simply put, data management is a sophisticated process involving various stages, such as data storage, processing, analysis, and visualization. Reduced risk: Effective data management can help businesses mitigate risks, such as data breaches, compliance violations, and reputational damage. The benefits of data management are universal.

Strategy 284

Strategy Data Transportation Exercises 284

CIO

JULY 18, 2022

This puts the burden on companies to execute an approach that balances the need for frictionless visibility and secure access without infringing on compliance requirements. Given the current regulatory climate, some data must remain on-premises or be tied to specific systems.

Data 199

Data Disaster Recovery Backup Systems Review 199

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Simplified compliance. Improved scalability and agility. Flexibility. A phased approach to modernization.

Technical Review 66

Technical Review Data Open Source Systems Review 66

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. This structure is made efficient by data engineering practices that include object storage.

Architecture 52

Architecture Data Storage Machine Learning 52

Zensar

FEBRUARY 18, 2020

The sheer breadth of problems that analytics has already solved and promises to solve in the future has driven organizations to invest increasingly in data & analytics initiatives. A well-defined business objective lays the foundation for a strong and sustainable analytics architecture. Need for self-service analytics.

Architecture 40

Architecture Analytics Sustainability System Architecture 40

Cloudera

OCTOBER 6, 2022

Reduce compliance costs: Compliance is a cost of doing business, but how much of that cost is somewhat in your control? Try to piggy-back with strategic, revenue-driving projects to accomplish compliance but also to get more advances. We see this consistently in the data platform/data storage space. . Then make it happen.

Technical Review 85

Technical Review Compliance Machine Learning Artificial Inteligence 85

Perficient

FEBRUARY 16, 2023

Integrations with BigQuery, Pub/Sub, Cloud Storage, and many connectors provide a unified view and tagging mechanism for technical and business metadata. Our cloud, data, and analytics team can assist with your entire data and analytics lifecycle, from data strategy to implementation.

Data 110

Data Google Cloud Analytics Cloud 110

Openxcell

OCTOBER 26, 2023

In computing, an enterprise data warehouse is a relational data warehouse(EDW) that holds a company’s business data, including information about its customers, data analytics, and reports. An enterprise data warehouse often accommodates many APIs such as Business Intelligence tools, ETL tools, data ingestion, and analytics tools.

Enterprise 52

Enterprise Data Technical Review Analytics 52

TechCrunch

APRIL 12, 2022

While companies find AI’s predictive power alluring, particularly on the data analytics side of the organization, achieving meaningful results with AI often proves to be a challenge. That’s where Flyte comes in — a platform for programming and processing concurrent AI and data analytics workflows.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. The source and availability of every material and part across each branch is an opportunity for risk.

Cloud 85

Cloud Government Storage Analytics 85

Cloudera

FEBRUARY 4, 2021

They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera comprehensively supports the demanding risk and compliance requirements of financial services and insurance organizations globally and it is an honor to receive this recognition. Cloudera is that platform. End-to-end Data Lifecycle.

Technical Review 88

Technical Review Marketing Technology Data 88