IBM Big Data Hub

JUNE 26, 2023

Across the 30+ episodes published so far, three themes have emerged that appeared to come up: Research , which I covered in the previous blog Journey to Cloud , which I will cover here Life Stories , which I will leave for the next blog post Theme: Journey to Cloud Cloud computing has impacted the IT industry like few other technologies.

Forecasting 63

Forecasting Software Publishing Technology 63

CIO Business Intelligence

APRIL 18, 2024

Defining a cloud native platform The Platforms Working Group at the Cloud Native Computing Foundation (CNCF) has a great paper defining “platform.” You use it to standardize your infrastructure across clouds, across on-premises, and even “edge,” so that you can then build your application-focused platform. Cloud Computing

Cost-Benefit 97

Cost-Benefit Software Recreation/Entertainment Insurance 97

O'Reilly on Data

DECEMBER 18, 2019

This is computer science,” says Thomas, “and it’s computer science disguised as hard work. This is finally becoming a board-level topic for companies I interact with,” he said. You better roll up your sleeves. … Just look at the economics: $16 trillion of GDP is expected to be accrued from AI between now and 2030.

Interactive 180

Interactive Optimization Marketing IT 180

CIO Business Intelligence

SEPTEMBER 29, 2022

The computing edge has extended to people working from various ‘out of office’ locations including homes, hotels and different countries. In addition, most home computers are used by various family members. As a result, the potential for malware to become resident on home computers is increasing.”.

Management 111

Management Risk Statistics Data-driven 111

Cloudera

AUGUST 28, 2020

AI, edge computing, and cloud are three of the hottest topics in technology today – can you talk us through how they are impacting the telco industry? . That is where the value of streaming analytics, edge, and cloud is, in how businesses use this real-time data to inform decisions. .

IoT 109

IoT Machine Learning B2B Testing 109

CIO Business Intelligence

DECEMBER 20, 2023

Where ChatGPT got the edge was its ability to answer queries beyond my original question. Early literacy creates effective users Starting in early elementary school, computer classes were a mandatory part of the curriculum. What should I include in the body of the message? Artificial Intelligence

Technology 114

Technology Strategy Testing Software 114

IBM Big Data Hub

OCTOBER 18, 2023

On December 5–6, 2023 at the Computer History Museum in Mountain View, CA, hundreds of developers and software engineers will come together at PrestoCon 2023 to support and learn more about Presto, the open-source SQL query engine for data analytics and the Open Data Lakehouse.

Statistics 93

Statistics Software Data Analytics Analytics 93

Cloudera

JANUARY 26, 2022

Just like the Internet, the cloud computing concept was born when the U.S. This archaic version of our internet was the first time (mainframe) computers interacted with each other. This was also the first time that users could share the same computer resource simultaneously.

Data Processing 84

Data Processing IoT Cost-Benefit Digital Transformation 84

datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. Exclusive Bonus Content: The top books on data science summarized! 3) “Advanced R” by Hadley Wickham.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

CIO Business Intelligence

JULY 6, 2023

That’s higher than trendy topics like AIOps and edge computing, and a close third to Zero Trust and IT/OT convergence, which each came in at 44%. Organizations recognize they need to get a better handle on an IT stack that extends across the network core, the cloud, and the edge.

Strategy 52

Strategy Reporting Optimization Technology 52

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Fig 1: The Enterprise Data Lifecycle.

Digital Transformation 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

CIO Business Intelligence

MAY 16, 2022

The possibilities for engaging attendees, increasing revenues and improving sustainability using real-time situational awareness and insights through computer vision are nearly limitless. at the edge rather than the data center ? Additional insights can be gained by implementing computer vision from these streams.

Recreation/Entertainment 100

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 100

CIO Business Intelligence

MAY 23, 2022

Data that gets created on premises (such as private financial data) or the edge (such as robotics or autonomous vehicles) can incur unwieldy storage expenses and an unnecessary speed bump in developer workflow when it needs to be moved to the cloud for training. Cloud Architecture, IT Leadership

Software 102

Software Modeling Data Science Strategy 102

Cloudera

FEBRUARY 8, 2021

Adding more wires and throwing more compute hardware to the problem is simply not viable considering the cost and complexities of today’s connected cars or the additional demands designed into electric cars (like battery management systems and eco-trip planning). The vehicle-to-cloud solution driving advanced use cases. challenges.

Machine Learning 107

Machine Learning Manufacturing Unstructured Data Modeling 107

CIO Business Intelligence

JANUARY 23, 2023

The Middle East is on the edge of a massive digital disruption. Also last year at Gitex and Gisec (Gitex event focused on cybersecurity) the topic of women in IT came to the fore, with a full-day panel exploring initiatives to close the gender gap in technology. Nowadays, only 25% of women are studying computer science.

IoT 107

IoT Strategy Cost-Benefit Digital Transformation 107

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 88

Metrics Machine Learning Risk Statistics 88

CIO Business Intelligence

MARCH 22, 2022

By: Phil Mottram, Executive Vice President and General Manager of HPE’s Intelligent Edge business. There is no other NaaS solution on the market today that delivers last mile edge connectivity all the way to data center and cloud-based operations. Anyone who knows me knows that I like exercise and in particular triathlons.

Finance 52

Finance Manufacturing Optimization Management 52

CIO Business Intelligence

AUGUST 9, 2023

It’s an appropriate takeaway for another prominent and high-stakes topic, generative AI. In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Just ask the six drivers that were leading F1 races and ran out of fuel during the final lap, crushing their chances of victory.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

CIO Business Intelligence

JUNE 1, 2022

Scientists and researchers within the CSIRO organization rely on a Dell-built Bracewell supercomputer to keep them on the cutting edge of developing and applying deep learning techniques. It is believed that time crystals could contribute to the development of a quantum computer that would far outpace any supercomputer known today. .

Deep Learning 102

Deep Learning Snapshot Optimization Data Quality 102

Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. Hybrid data capabilities enable organizations to collect and store information on premises, in public or private clouds, and at the edge — without sacrificing the important analytics needed to turn that information into insight.

Data Architecture 88

Data Architecture Data Strategy Strategy Data-driven 88

Cloudera

JANUARY 28, 2022

Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Separated compute and storage for scale and agility. All in a distributed cloud model that spans multi-public, private & edge clouds. .

Slice and Dice 111

Slice and Dice Cost-Benefit Risk Data Governance 111

O'Reilly on Data

DECEMBER 10, 2019

AutoML Vision allows you to build models without having to code; we’re also seeing code-free model building from startups like MLJAR and Lobe , and tools focused on computer vision, such as Platform.ai We are at the edge of a revolution in how we build software. and Matroid. These problems, though, are solvable.

Software 261

Software Machine Learning Risk Data-driven 261

CIO Business Intelligence

MAY 12, 2023

A task that, despite edge computing, generates large amounts of data through video streams, which are then transferred to the cloud. And we can have full use of the allocated frequency band so we can also cover mission-critical topics with 5G.” And according to Grunwitz, labor is divided based on a series of levels.

IoT 103

IoT B2B Testing Technology 103

Cloudera

APRIL 20, 2021

It can access data from inside the business, like ERP and asset management, outside sources, like edge devices and external assets, and correlate them for real-time predictive maintenance. A stream processing system that will allow for creating computations using these messages. How does Cloudera enable modern Streaming Analytics?

Analytics 93

Analytics Unstructured Data IoT Visualization 93

CIO Business Intelligence

FEBRUARY 26, 2024

In the executive education programs in which I teach, I’ve actually had hard-nosed veteran executives thank me and my colleagues for creating the space where these topics can be discussed openly,” he says. This approach allows companies to develop their talent internally, improve brand loyalty, and enhance their competitive edge.”

IT 124

IT Uncertainty Strategy Testing 124

Smart Data Collective

JUNE 14, 2022

Most organizations have large numbers of devices such as computers, laptops, servers, and other equipment that are all interconnected with one another and this network is always vulnerable to attacks. This figure is going to increase as cybercriminals become bolder. Unfortunately, fighting data breaches is easier said than done.

Risk Management 89

Risk Management Risk Enterprise IT 89

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. One solution with immense potential is ”edge computing.” The pressure to adopt the edge computing paradigm increases with the number of sensors pouring out data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Octopai

JANUARY 31, 2021

Topics they chat about include: going serverless, data layers, and how to adapt for a “BI Lifecycle.” Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . EWSolutions is run by data experts and consultants who help companies work on their strategy and competitive edge.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

CIO Business Intelligence

JUNE 14, 2023

If you’re looking to get an edge on a data analytics career, certification is a great option. How to prepare: An undergraduate degree and prior quantitative and introductory to computer programming coursework are required. How to prepare: No prior computer science or programming knowledge is necessary.

Big Data 122

Big Data Data Analytics Analytics Predictive Modeling 122

O'Reilly on Data

JUNE 18, 2019

While data cleaning has long been a research topic in academia, it often has been looked at as a theoretical logic problem. Machine learning applications rely on three main components: models, data, and compute. Thus, many cutting-edge models are now available to data scientists. Models are increasingly becoming commodities.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

CIO Business Intelligence

NOVEMBER 17, 2022

Distributed hybrid work models present far more attack opportunities for malicious actors, and compliance (including data privacy) is a complicated topic in a multicloud-enabled world. Ever-increasing security and compliance risks present further challenges.

Reporting 52

Reporting Digital Transformation Strategy Business Intelligence 52

Sisense

FEBRUARY 9, 2021

We’ll dig into some of the ways data informs these industries and can help these businesses improve their customer experience and gain an edge in an increasingly competitive world. Front-line workers will benefit from up-to-the-minute insights sent to where they’re working, whether it’s a point-of-sale computer or mobile device.

Data-driven 98

Data-driven B2B Marketing Reporting 98

Andrew White

SEPTEMBER 23, 2022

I was moved to blog after spotting yet another article on the same topic in Monday’s copy (September 19th, 2022) of the Wall Street Journal. Compute and storage is relatively available and cheap. But any effort to source such capability at the edge of a business will necessarily lead to risk and increased costs.

IT 59

IT Modeling Finance Technology 59

Timo Elliott

MAY 17, 2023

And so that was the theme of Day 2: five real-world examples of companies showcasing how they became future-proof with some help from SAP — and of course, it’s my own personal favorite topic! Firstly, they decided to create more immersive and awe-inspiring experiences, employing cutting-edge technology.

Manufacturing 105

Manufacturing Recreation/Entertainment Technology Strategy 105

CIO Business Intelligence

FEBRUARY 21, 2023

The firm’s connected brewery IoT platform, for instance, is being used for data ingestion and edge computing in breweries, enabling local teams to analyze, adjust, test and optimize production processes, with this in-turn allowing operations to leverage real-time and historical data to support the workers on the shop floor.

Digital Transformation 103

Digital Transformation Sales Experimentation Optimization 103

CIO Business Intelligence

JUNE 21, 2023

Integrating advanced AI into its heavily robotic process automation shop, as well as edge computing, Peck says, are huge opportunities the company is now exploring. It showed in the way he talked, the topics he found important, and the results he and his team helped to drive.”

IT 89

IT B2B Digital Transformation Sales 89

IBM Big Data Hub

JULY 5, 2023

Highlights I’ll let some of the stories speak for themselves: Faried Abrahams described how he grew up in apartheid South Africa, came across a computer almost by accident, and had the benefit of multiple mentors along the way that supported and enabled him to eventually go to university in the United States and join IBM.

Forecasting 56

Forecasting Software Consulting Optimization 56