The Accidental Successful CIO

AUGUST 14, 2013

It’s How The CIO puts the pieces together that makes big data valuable Image Credit. The era of big data has arrived. CIOs everywhere are swimming in a sea of data and only now are they starting to get the tools that will allow them to make sense of what they have. Solutions To Your Big Data Backup Problem.

Big Data 73

Big Data Backup Data Storage 73

CIO

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Data Storage: Computer scientists and programmers assert that blockchain offers certain advantages for data storage compared to alternatives.

Innovation 231

Innovation Blockchain Artificial Intelligence Artificial Inteligence 231

Hu's Place - HitachiVantara

JUNE 4, 2018

In order for companies to be more agile in responding to changing customer needs and market dynamics, they must have a storage infrastructure that makes data available at the right time, at the right place and in the right format, so that they can derive value from it and turn raw data into insights that drive business outcomes.

Storage 49

Storage Infrastructure Agile Data Center 49

The Accidental Successful CIO

JUNE 26, 2013

One of the things that makes having the CIO job different today from how it was in the past, besides the growing awareness of the importance of information technology, is the arrival of so-called “big data” We’re talking about terabytes or even petabytes of data and all of the headaches that come along with it.

Big Data 74

Big Data Data Analytics Innovation 74

CIO

MARCH 24, 2023

Some of the top challenges of a data governance program include: Lack of data leadership: Like other business functions, data governance requires strong executive leadership. It requires teamwork, investment, and resources, as well as planning and monitoring.

Government 357

Government Data Technical Review Policies 357

O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science. Align data initiatives with business goals.

Data 117

Data Big Data Systems Review Technical Review 117

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. The storage for these features is referred to as a feature store. Data and ML model development fundamentally depend on one another. Artificial Intelligence, IT Leadership

Artificial Inteligence 282

Artificial Inteligence Strategy Data Machine Learning 282

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. Embrace FinOps.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CTOvision

OCTOBER 27, 2014

While the most important driver in today’s business atmosphere may be increased technology innovation, a new study indicates that IT professionals worry leadership is not doing enough to adopt … Read more on Midsize Insider. Big Data Product Watch 10/17/14: Big Three Make Big Moves. and Hortonworks Inc.

Technical Review 103

Technical Review Technology Big Data Firewall 103

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Cloudera

JULY 27, 2021

When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach. Speaking to Aaron Boasman-Patel, Vice President, AI & Customer Experience at the TM Forum, he says the industry is all-in on Big Data. Big Data has long been a growth area in telecom,’ he told me.

Telecommunications 62

Telecommunications Data Architecture Big Data 62

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. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Learn more!

Analytics 94

Analytics Network Innovation IoT 94

AWS Machine Learning - AI

FEBRUARY 1, 2024

The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. He entered the big data space in 2013 and continues to explore that area. He also holds an MBA from Colorado State University.

Generative AI 108

Generative AI Disaster Recovery Artificial Inteligence AWS 108

O'Reilly Media - Ideas

APRIL 13, 2023

Imagine application storage and compute as unstoppable as blockchain, but faster and cheaper than the cloud.) Protocol networks are groups of loosely affiliated enterprises that provide globally available services like ledger, compute, and storage. The new paradigm shift is from the cloud to the protocol network.

Technical Review 138

Technical Review Authentication Storage Serverless 138

CTOvision

JANUARY 22, 2014

By Bob Gourley Editor’s note: we have met and had discussions with the leadership of MemSQL and are excited for the virtuous capabilities they bring to enterprise IT (see, for example, our interview with Eric Frenkiel and their position on our Top Enterprise Big Data Tech List ).

Enterprise 110

Enterprise Company Big Data Analytics 110

CTOvision

FEBRUARY 26, 2014

Novetta Cyber Analytics provides rapid discovery of suspicious activity associated with advanced threats, dynamic malware, and exfiltration of sensitive data. “Novetta’s deep experience in data analytics makes us a great match for the high performance capabilities of Teradata. About Novetta Solutions.

Analytics 102

Analytics Big Data Conference Malware 102

CTOvision

AUGUST 7, 2014

We just finished a call with their leadership team. The leadership views machine data in a new way with the result being a modern capability to this emerging challenge. Machine data is a valuable and fast-growing category of Big Data. Analysis Architecture Big Data Apache Hadoop bigdata'

Enterprise 101

Enterprise Software Data Big Data 101

CTOvision

MARCH 6, 2017

It had its roots in an Intel project and has had great leadership and contributions from Cloudera as well as some of the greatest names in cybersecurity technology. Apache Spot is a community-drive cybersecurity project undergoing incubation at the Apache Software Foundation (ASF). I've been tracking Apache Spot for quite a while.

Artificial Inteligence 94

Artificial Inteligence Analytics Artificial Intelligence Data 94

OverOps

APRIL 23, 2019

For instance, AWS offers on-premise integration in the form of services like AWS RDS , EC2, EBS with snapshots , object storage using S3 etc. Higher Level of Control Over Big Data Analytics. They can accomplish this by providing the latest and relevant data when needed. Transitioning from Existing Infrastructure.

Cloud 189

Cloud Data Center Architecture AWS 189

CTOvision

JUNE 3, 2014

One of the big advances from Gazzang: well engineered key management. The news below is the product of many of these factors plus the vision and leadership of very smart people at Gazzang, Intel and Cloudera. Another very positive development was the application of engineering and security talent by an amazing firm named Gazzang.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

Apiumhub

MARCH 4, 2021

Data-as-a-service (DaaS) is a data management strategy and deployment model that focuses on the cloud to deliver a variety of data-related services such as storage, processing, and analytics. Data as a service is a useful tool when you want to compare your organization’s performance against peers. What is DaaS?

Trends 72

Trends Data Analytics Business Intelligence 72

Hu's Place - HitachiVantara

JANUARY 3, 2019

More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. Meta data will be key, and companies will look to object based storage systems to create a data fabric as a foundation for building large scale flow based data systems.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Hu's Place - HitachiVantara

APRIL 23, 2019

When she joined, what was then, Hitachi Data Systems-Denmark, we were a solid storage company with 15 -20% market share. Within 5 years, under her leadership, HDS Denmark was able to grow market share to 45-50% and became the number 1 storage vendor in the Danish market. She is not shy.

Disaster Recovery 67

Disaster Recovery Technical Review Storage Hotels 67

Linux Academy

JANUARY 26, 2019

Compute- and storage-intensive applications find their way to the cloud because of the need to scale so large that on-premises data centers are simply no longer feasible. Statistics show that as many as 60% of all newly developed applications are deployed in public, private, or hybrid cloud infrastructures.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

The Accidental Successful CIO

APRIL 17, 2013

Hadoop is a database that solves the problem of how to handle big data. Hey CIO, just in case you’ve been living with your head underneath a rock, the world appears to have gone “big data” crazy lately. What’s Wrong With How We Handle Data Today? A better way to handle big data was needed.

Big Data 65

Big Data Storage System Data 65

Cloudera

MAY 15, 2019

A notable expert and clinical information systems specialist, Charles, offers his 25-plus years of strategic leadership. He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange.

Enterprise 48

Enterprise Cloud Data Healthcare 48

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. It is Google’s central AI platform, intended for developers and data scientists handling big data.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Kentik

JUNE 6, 2017

How Big Data Network Intelligence Enables Institutional Success. In the world of higher education, meanwhile, the yardsticks are more varied, involving not only financial health but measures like completion rates and research leadership. Of course the meaning of “success” varies depending on the organization type.

Education 40

Education Network Big Data Software Review 40

Aviatrix

SEPTEMBER 28, 2018

But that networking world operated on physical equipment in physical data centers. As networking follows compute and storage to the cloud, Cisco will lose its dominant status. It likely won’t go away, but the leadership mantle will pass to a new generation of networking vendors born to operate in the cloud.

Innovation 49

Innovation Cloud Software Data Center 49

OTS Solutions

MAY 2, 2023

Automation in work processes, paperless transactions, and digital storage options can help companies to save on costs. Johnson & Johnson’s Digital Health Leadership Program has also helped to train its employees to adopt innovative digital technologies. Leadership involvement in the project is key to its success.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Cloudera

AUGUST 20, 2021

A fine-grained data permissioning mechanism enabled by Apache Ranger that provides a unified security layer for controlling user authorization for database elements at granular level (e.g., Processing Scalability: As we’ve previously demonstrated (e.g.,

Strategy 96

Strategy Data Technical Review Weak Development Team 96

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

Actian

JANUARY 24, 2020

Support for multiple OS environments with a single storage format. Across product designs, operational technology portfolios, and Enterprise IT support of lines of business, a range of systems at the Edge and back into the enterprise must share data across OSes from Android/iOS to Windows/Linux to Cloud virtualized environments.

Software Development 40

Software Development Software Development Off-The-Shelf 40

The Accidental Successful CIO

JANUARY 4, 2017

Big data , the cloud, and mobility are three of the most important. In the past we struggled to get all of the data that we needed because in order to store a great deal of data takes a very large IT infrastructure. Blue Elephant Consulting – Your Source For Real World IT Department Leadership Skills™.

Big Data 49

Big Data Mobile Storage Data 49

Actian

FEBRUARY 24, 2020

RPA vendors also have a data challenge. It’s both a big data challenge and a distributed data challenge. They are IoT devices and mobile apps with limited storage and data processing capabilities.

Artificial Inteligence 40

Artificial Inteligence IoT Artificial Intelligence Mobile 40

AWS Machine Learning - AI

JANUARY 26, 2024

Next, make sure that all data at rest is encrypted with AWS KMS, including considering the use of CMKs, and all data and models are versioned and backed up using Amazon Simple Storage Service (Amazon S3) versioning and applying object-level immutability with Amazon S3 Object Lock.

Artificial Inteligence 118

Artificial Inteligence Generative AI Security Applications 118