CIO Business Intelligence

MAY 3, 2022

A couple of decades ago, when nearly all centralized computing ran in data centers, companies began talking about how to accelerate decision-making and reduce latency issues that frustrated users (commonly referred to as the “world wide wait”). We will now explore each of these predictions in more depth with this blog series.

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Software Internet of Things IoT Manufacturing 72

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

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Smart Data Collective

SEPTEMBER 11, 2020

Networking technologies have been in existence for many decades with a singular purpose – the improvement of data transmission and circulation through the use of information systems. IoT is the technology that enhances communication by connecting network devices and collecting data. AI has made it even more viable than ever.

Technology 97

Technology IoT Internet of Things Cost-Benefit 97

Cloudera

SEPTEMBER 8, 2020

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing.

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IoT Internet of Things B2B Data-driven 70

Smart Data Collective

JUNE 7, 2019

One of the most fascinating things about big data is its ability to optimize the design of products that have pre-dated digital technology by centuries. Improvements were needed for imaging and data storage. Fujitsu has recently started embracing the benefits of big data. Magnets are ancient devices.

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Big Data Cost-Benefit Predictive Analytics Manufacturing 77

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Security is surging. to be wary of.

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Data-driven Software Statistics Marketing 342

Jedox

JULY 17, 2018

But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward. But even so, companies are only starting to scratch the surface of their data’s true potential. Empowering FP&A to make faster and better business decisions.

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Machine Learning Technology Digital Transformation Predictive Analytics 47

Smart Data Collective

JUNE 24, 2023

This means that anybody that is possible victim will need to leverage AI-driven cyber security measures to protect their digital assets. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum. Most importantly, AI can help optimize cybersecurity apps to help stop hackers.

Machine Learning 78

Machine Learning Broadcasting Risk Data mining 78

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

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Experimentation Optimization Uncertainty Metrics 52

CDW Research Hub

JULY 5, 2019

One of the biggest game-changers in flash storage is the recent development of the non-volatile memory express (NVMe) interface, which transfers data between a host and a target device much faster than Small Computer System Interface (SCSI). Data center modernization/standardization. While this works, it doesn’t work optimally.

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Cost-Benefit Data Processing Data-driven Optimization 40

Cloudera

AUGUST 28, 2018

Drum roll… Starting from well over 100 nominations, we are excited to announce the finalists for this year’s Data Impact Awards ! Two weeks from today we will announce the winners at the Data Impact Awards Celebration on Tuesday, 11th September the week of Strata Data 2018 , New York. Cielo (nominated by Zoomdata ).

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BizAcuity

APRIL 25, 2022

In 2018, the US Supreme Court’s decision to legalize sports betting was historic. Thanks to data analytics, these decisions can now be backed by data. Real-time decisions can be taken in line with data insights. Either deliberate or user-driven, marketing drove promotion and product adoption amongst users in the market.

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Marketing Strategy ROI Digital Transformation 52

Jet Global

JANUARY 28, 2020

Gartner reported in 2018 that information executives believed the output and overall value of self-service analytics would exceed that of professional data scientists by 2019. So Much Data, So Little Talent. Data scientists were supposed to be the solution, but they are difficult to recruit and expensive to retain.

Reporting 49

Reporting Data-driven Software Risk 49

Hurwitz & Associates

APRIL 2, 2019

Hybrid clouds and multi-clouds, spanning enterprise data centers, private clouds and public clouds, are placing a new set of requirements on customers’ storage systems. To do this, IBM is emphasizing the need to “visualize” data resources – and to embed AI and ML technology into the offering to help extend the capabilities of IT staff.

Software 56

Software Enterprise Snapshot Management 56

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. Cost optimization and short-term value generating activity will be explored. Data, analytics and AI.

Software 52

Software Uncertainty Measurement Marketing 52

Occam's Razor

JULY 24, 2018

The result is analytical strategies that are uninformed by reality, and driven new tool features, random expert recommendations and shiny objects ( OMG we have to get offline attribution! ). Diving a bit deeper into the x-axis… While most data can be collected in real-time now, not all metrics are useful in real-time.

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Analytics Metrics Strategy Measurement 93

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Congratulations and high fives to every organization that submitted entries.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

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Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

MARCH 29, 2024

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. This allows IT to evolve from reactive problem-solving to proactive optimization. V6 also lacked scalability.

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Cost-Benefit Data-driven Metrics Management 91

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Given the cost of equipping a data center with high-end GPUs, they probably won’t attempt to build their own infrastructure. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

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Enterprise Modeling Testing Reporting 281

bridgei2i

MAY 19, 2021

Today the power of harnessing data is immense, and GICs are investing extensively in driving efficiencies through automation. And a lot of key agenda is being driven from these centers. Because once in 2018, I stepped out of my, you know, classical corporate journey, I, as you probably know, I also joined as an advisor with Deloitte.

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Enterprise Digital Transformation Marketing Cost-Benefit 75

Sisense

JUNE 9, 2021

Like pretty much everything else in the world, football has become more data-driven than ever, so when the 24 teams set out to win the championship on 11 June , you can bet your bottom Euro that each team’s tactics, formation, and training will be shaped by a mountain of data. We can’t wait!

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Analytics Data-driven Internet of Things Measurement 98

O'Reilly on Data

APRIL 5, 2023

That’s because AI algorithms are trained on data. By its very nature, data is an artifact of something that happened in the past. Data is a relic–even if it’s only a few milliseconds old. When we decide which data to use and which data to discard, we are influenced by our innate biases and pre-existing beliefs.

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Cost-Benefit Data-driven Measurement Visualization 279

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

DECEMBER 8, 2023

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

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Data Warehouse Cost-Benefit KPI Risk 68

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. billion in 2018.

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Big Data Cost-Benefit IoT Machine Learning 101

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

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Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

JUNE 21, 2022

Today, organizations are experiencing relentless data growth spurred by the digital acceleration of the past two years. While this period presents a great opportunity for data management, it has also created phenomenal complexity as businesses take on hybrid and multicloud environments. . How IBM built its own data fabric .

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Data Strategy Strategy Data-driven Enterprise 52

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.

Technology 279

Technology Internet of Things IT IoT 279

bridgei2i

FEBRUARY 21, 2019

Monideepa Bhattacharya, Digital Transformation Lead, BRIDGEi2i Analytics Solution, delivered the keynote presentation at Infocom-2018, Kolkata. Some of the buzzwords of the day: blockchain, graph database, edge computing, and AI-driven solutions can seem quite complex yet undoubtedly they are the future of technology.

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Digital Transformation Analytics Sales KPI 66

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

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Data Science Experimentation Data-driven Machine Learning 66

BizAcuity

MARCH 8, 2019

Workforce Analytics in simple terms can be defined as an advanced set of software and methodology tools that measures, characterizes, and organizes sophisticated employee data and these tools helps in understanding the employee performance in a logical way. Workforce Analytics – What is its need for companies. Image Source: [link].

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Analytics Prescriptive Analytics Cost-Benefit Metrics 73

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “AI,” meanwhile, is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Alation

FEBRUARY 13, 2020

With TrustCheck, data analysts see color-coded visual cues whenever they use a questionable source, right in their natural workflow in real-time, whether they’re working in Alation Compose, in Tableau or in SalesForce Einstein Analytics. Alation’s TrustCheck technology enables a new and modern approach to agile data governance.

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Dashboards Data-driven Visualization Data Quality 52

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. 2018-06-21). ML model interpretability and data visualization.

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Machine Learning Data Science Modeling Visualization 105