O'Reilly on Data

APRIL 19, 2021

That clearly doesn’t reflect reality; China is a leader in AI and probably has more AI developers than any other nation, including the US. Likewise, 1% of the respondents were from Russia. Not surprisingly, computers, electronics, and technology topped the charts, with 17% of the respondents.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

IBM Big Data Hub

JULY 5, 2022

The fact is that databases are truly the engine driving better outcomes for businesses — they’re running your cloud-native apps, generating returns on your investments in AI, and the backbone supporting your data fabric strategy. This is the story of Db2. . They were expensive. Mission Critical Apps .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

IBM Big Data Hub

JULY 5, 2023

In the previous posts in this three-part series (see Part 1 and Part 2 ), I wrote about how I discovered a set of common themes that span across all my podcast episodes, even though the IBM Fellows cover a broad range of technical areas at IBM. It’s part of their DNA.

Forecasting 55

Forecasting Software Consulting Optimization 55

O'Reilly on Data

JUNE 18, 2019

Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Moreover, the domain knowledge, which often is not encoded in the data (nor fully documented), is an integral part of this data (see this article from Forbes).

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

CDW Research Hub

AUGUST 27, 2021

End-user computing (EUC) —powered by technologies such as virtualization, mobile computing and cloud computing—has played a major role in this shift. Below are three key trends in end-user computing (EUC) that are changing the face of the workforce. Cloud-hosted desktops. Modern device management.

Data Processing 52

Data Processing Digital Transformation Forecasting Strategy 52

CIO Business Intelligence

NOVEMBER 17, 2022

For example, while your organisation may already have tapped the power of the Internet of Things and edge computing (perhaps even enhanced by the speed and stability of private 5G in the quest for digital transformation, this does not automatically make you future-proof. These trends include: 1. What comes next?

Internet of Things 59

Internet of Things Data-driven Cost-Benefit Digital Transformation 59

Cloudera

OCTOBER 4, 2023

However, there are some key capabilities that will make real-time analytics a practical and applied reality. And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. The need for real-time decision support and automation is clear.

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

Smart Data Collective

JULY 21, 2022

A comprehensive cloud-based digital learning platform with sophisticated data analytics tools enables employees to access multi-modal training material. The construction industry has also started exploring impactful technological innovations such as Virtual Reality, Augmented Reality, and Artificial Intelligence to train professionals.

Data-driven 132

Data-driven Big Data Cost-Benefit Data Analytics 132

Cloudera

AUGUST 28, 2020

In part 2 of the series focusing on the impact of evolving technology on the telecom industry, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again.

IoT 108

IoT Machine Learning B2B Testing 108

CIO Business Intelligence

MAY 11, 2022

From retail to healthcare and even financial services; no sector has escaped the reality that digitisation is a necessity for survival. We know that for years businesses have built excess capacity into their data center and cloud resources to ensure capacity needs are met at any moment.

Strategy 98

Strategy Digital Transformation Cost-Benefit Machine Learning 98

CDW Research Hub

SEPTEMBER 1, 2021

… and three considerations to keep in mind before moving to cloud calling. Here are five reasons why cloud calling is the preferred architecture of the modern workplace: 1. Cloud calling is the most direct route between Point A and Point B. The best part? Can you hear me now?

Interactive 59

Interactive Cost-Benefit Visualization Modeling 59

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. We can also do it with your preferred cloud – AWS, Azure or GCP.

IT 97

IT Data Architecture Unstructured Data Big Data 97

CIO Business Intelligence

AUGUST 25, 2022

Best Practice 1: Everyone’s remote work needs are different. This needs to be a multidimensional review: Computational requirements Storage requirements (local, remote, and backup) Voice communication requirements Video communication requirements Security requirements Special access requirements (e.g. Whose needs are you addressing?

IoT 98

IoT Data Processing Measurement Risk 98

CDW Research Hub

JUNE 23, 2020

As virtual desktop infrastructure (VDI) gains popularity among enterprises across multiple industries, and with many desktops migrating to the cloud, testing your virtual desktop environment has never been so important. The post 3 Reasons Why You Should Test Your Virtual Desktop Environment appeared first on Sirius Computer Solutions.

Testing 92

Testing Strategy Data Processing Optimization 92

Sisense

MAY 28, 2020

The cloud isn’t the future; it’s right now. In the Clouds is where we explore the ways cloud-native architecture, cloud data storage, and cloud analytics are changing key industries and business practices, with anecdotes from experts, how-to’s, and more to help your company excel in the cloud era.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Cloudera

DECEMBER 9, 2022

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud.

Testing 95

Testing Cost-Benefit Interactive Visualization 95

Cloudera

SEPTEMBER 29, 2022

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). Then, we add hybrid architectures to the mix since they are here to stay and will not just be a “temporary state until we all move to the cloud.”. Data mesh defined.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

Alation

JULY 30, 2021

1: Biz Problem – Making Data Accessible & Scalable in the Cloud. A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. Lifting and shifting poor practices will just move your problems to the cloud,” Hurwitz Analyst Dan Kirsch adds.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

DMBS2

DECEMBER 12, 2017

The same will likely hold other natural language or virtual/augmented reality interfaces if and when they go more mainstream. AI technology is sometimes part of a much larger whole. The fiasco of Japan’s 1980s “Fifth-Generation Computing” initiative is only partly reassuring. smartphones — Siri et al.).

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

datapine

MAY 31, 2022

1) What Is Cloud Computing? 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. 4) The Future Of Cloud Computing. Everywhere you turn these days, “the cloud” is being talked about. These challenges of cloud computing are not merely roadblocks to overcome.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Domino Data Lab

APRIL 3, 2019

My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). The on-the-ground reality of DG presents an almost overwhelming array of topics. It includes perspectives about current issues, themes, vendors, and products for data governance.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Insight

JANUARY 16, 2019

Insight and Skills Fund partner to lower the barrier to thriving careers In addition to providing completely tuition-free programs, need-based scholarships, and cloud computing resources, the Insight Fellowship Program is now offering cost-of-living loans to Fellows in all of our programs through a partnership with Skills Fund.

Modeling 56

Modeling Cost-Benefit Finance Optimization 56

AWS Big Data

FEBRUARY 13, 2024

MSK Serverless automatically provisions and scales compute and storage resources. In the next section, we address how we can satisfy this part of the requirements. If you want to re-associate the VPC with the hosted zone, you’ll need to repeat steps 1 and 2 of this procedure.

Data Processing 81

Data Processing Management IT Software 81

datapine

NOVEMBER 19, 2019

Computer Vision. The first in our definitive rundown of tech buzzwords 2020 is computer vision. Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

MARCH 21, 2024

Low-band 5G transmits data on frequencies between 600 and 900 MHz Mid-band 5G transmits between 1 and 6 GHz High-band 5G transmits from 24 to 47 GHz. Mid-band 5G operates on frequencies ranging from 1 to 6 GHz, which gives it more capacity to move bigger volumes of data, but not over a large area.

IoT 96

IoT Internet of Things Technology Enterprise 96

Rocket-Powered Data Science

JULY 6, 2021

1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles. 5) The emergence of Edge-to-Cloud architectures clearly began pushing Industry 4.0 Observability meets AI – it is part of the complete AIOps package: “keeping an eye on the AI.” will look like).

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

O'Reilly on Data

NOVEMBER 28, 2023

A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. What’s the reality? Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Enterprise 273

Enterprise Modeling Testing Reporting 273

CIO Business Intelligence

MAY 30, 2023

For example, organizations further along in their cloud journeys are now moving to platform-based models “that are being optimized and continuously improved,” he says. Cloud continues to be a big area of investment, but it’s a different kind of investment,” he explains. “We That in turn is changing how IT operates.

IT 131

IT Risk Optimization Technology 131

IBM Big Data Hub

AUGUST 11, 2023

The rise of digital transformation and the increased popularity of cloud computing helps companies deliver unique services to customers online and leads many organizations to consider themselves as technology companies. And technology budgets are rising commensurate to this new reality. IT spending is expected to increase to $4.6

Management 81

Management IT Software Forecasting 81

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. SaaS: The Key Characteristics. billion.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

IBM Big Data Hub

SEPTEMBER 26, 2023

Despite these commonalities, every child support organization is distinct, and each needs a tailored modernization approach that supports its vision, addresses its specific system challenges and understands the reality of its issues “on the ground.”

Consulting 99

Consulting Cost-Benefit Technology Strategy 99

CIO Business Intelligence

JUNE 7, 2023

The NBA’s full-court press on digital technologies has revolutionized the fan, player, and team experience, thanks to accelerated deployment of cloud, analytics, AI, and computer vision technologies since the association launched its digital transformation in 2020.

Digital Transformation 52

Digital Transformation Recreation/Entertainment Machine Learning Data Lake 52

Cloudera

APRIL 22, 2021

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Cloudera and Cisco have tested together with dense storage nodes to make this a reality. . This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5

Data Lake 98

Data Lake Cost-Benefit Testing Metadata 98

CIO Business Intelligence

OCTOBER 18, 2022

Planned downtime, for IT migrations and moving to the cloud, also consumes valuable organizational time. Since this average includes small businesses, the actual per-hour cost to mid-size and enterprise businesses actually surpasses $1 million. Financial losses represent only part of the problem.

Snapshot 98

Snapshot Advertising Measurement Enterprise 98

datapine

AUGUST 29, 2022

1) Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz. 3) Extended Reality In Practice: 100+ Amazing Ways Virtual, Augmented and Mixed Reality Are Changing Business and Society by Bernard Marr. Discover The Best Data Analytics And Big Data Books Of All Time.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Sisense

DECEMBER 3, 2019

But in reality, data by itself has no value. Even though we create a tremendous amount of it (90% of the world’s data was created in the past year), research shows that we are only using 1% of this data. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

Domino Data Lab

JUNE 2, 2019

One of my favorite presentations—and the one I kept hearing quoted by attendees —was the day 1 keynote “ Data Science at Netflix: Principles for Speed & Scale” by Michelle Ufford. Netflix is cloud native and was founded on a culture of sophisticated data science practices. Make that part of the company culture.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110