CIO Business Intelligence

MAY 23, 2022

McDermott’s sustainability innovation would not have been possible without key advancements in the cloud, analytics, and, in particular, data lakes, Dave notes. But for Dave, the key ingredient for innovation at McDermott is data. How do I train my employees in all the new technologies coming?” Vagesh Dave.

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality.

IoT 115

IoT Analytics Internet of Things Data Lake 115

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. Quality: Use cases like visual inspection, yield optimization, fault detection, and classification are enhanced with AI technologies. Eliminate data silos.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

CIO Business Intelligence

OCTOBER 1, 2022

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. These things have not been done at this scale in the manufacturing space to date, he says.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. Gartner analyst Sid Nag says PepsiCo has adopted many of the technologies that are driving the next phase of enterprise digital transformation.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Juice Analytics

MAY 11, 2020

Among all the technologies and initiatives that respondents consider important, the item that topped the list was reporting. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.

Reporting 115

Reporting Analytics IT Data Lake 115

CIO Business Intelligence

JUNE 20, 2022

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

Cloudera

AUGUST 18, 2021

The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies. For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

Sisense

JUNE 11, 2019

Big Data isn’t just something that happens to other people or giant companies like Google and Amazon. our annual client conference, I presented on the evolution of Big Data technologies including the different approaches that support the complex and vast amount of data organizations are now dealing with. are all things.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. However, analyzing large volumes of data can be a time-consuming and resource-intensive task. This is where Athena come in.

Forecasting 74

Forecasting Management IoT Data-driven 74

David Menninger's Analyst Perspectives

MAY 20, 2019

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

Internet of Things 169

Internet of Things IoT Analytics Optimization 169

CIO Business Intelligence

APRIL 11, 2022

billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. This next manifestation of centralized data strategy emanates from past experiences with trying to coalesce the enterprise around a large-scale monolithic data lake. over last year.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

CIO Business Intelligence

APRIL 6, 2022

Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment. The race to embrace digital technologies to compete and stay relevant in emerging business models is compelling organizations to shift focus.

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog. That’s excellent.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

CIO Business Intelligence

JULY 12, 2023

AI improves diaper manufacturing “All areas of P&G’s business are being impacted by emerging technologies like automation, AI, and machine learning,” says Vittorio Cretella, CIO of Procter & Gamble. A massive amount of data is already collected from sensors across all processes and from all supply chain partners.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

CIO Business Intelligence

APRIL 22, 2024

Il collegamento sicuro tra OT e IT Un altro tassello essenziale della sicurezza per EAV è il collegamento tra l’OT (Operational Technology) e l’IT. “Il Il CIO sta disegnando i processi e la governance dell’IT, strutturando tutta la parte OT e collegandola in modo sicuro con quella dell’Information Technology (sistemi, automazione e dati).

Data Lake 105

Data Lake Testing Management IoT 105

In(tegrate) the Clouds

DECEMBER 21, 2015

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. I can’t help it. Merv Adrian (@merv) December 19, 2015. platform.twitter.com/widgets.js.

Technology 45

Technology Internet of Things Digital Transformation Software 45

Cloudera

AUGUST 27, 2020

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. We want to see how they have been able to understand the value of data and the immediacy of its insights.

Internet of Things 96

Internet of Things Data Lake Uncertainty IoT 96

AWS Big Data

FEBRUARY 6, 2023

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Sanjeev Mohan

JANUARY 15, 2018

Somehow the data deluge barely leaves enough oxygen for a social media dopamine fix! Look forward to blogs spanning big data technologies, advanced analytics, data governance, IoT and blockchain. There is a renewed emphasis on data lakes and reversing the trends that caused them to turn into swamps.

Data Lake 45

Data Lake IoT Big Data Interactive 45

Cloudera

MAY 15, 2019

Join Charles Boicey, @ClearsenseLLC , as he tells the story of how Clearsense is applying Data Cloud technologies to healthcare. Barbara Eckman from Comcast is another keynote speaker, and is also presenting a breakout session about Comcast’s streaming data platform. American Water.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

AWS Big Data

FEBRUARY 6, 2023

He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. He has a specialty in big data services and technologies and an interest in building customer business outcomes together. Jiseong Kim is a Senior Data Architect at AWS ProServe. George Zhao is a Senior Data Architect at AWS ProServe.

Dashboards 74

Dashboards Optimization Data Lake Cost-Benefit 74

Sanjeev Mohan

FEBRUARY 28, 2018

The popularity of the Summit was not a surprise to me as I witnessed a pent-up surge in our clients’ and prospects’ desires to learn more about data related topics. My assessment was that many Australian clients have been slow to adopt newer technologies but are now exploring options to enhance their data infrastructure.

Management 52

Management Internet of Things Data Lake IoT 52

Cloudera

MAY 12, 2021

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . DATA FOR ENTERPRISE AI. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

Cloudera

DECEMBER 19, 2018

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. Big Data Technologies and Architectures.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Sisense

JUNE 12, 2019

Soon after, we announced the release of Sisense Hunch which provides the ability to transform even the most massive data sets into a deep neural net which can be placed anywhere, even on an IoT device. Along with AI Exploration Paths, mentioned above, we see a large number of assistive technologies to surface insights to the end users.

Analytics 75

Analytics Data-driven Dashboards IoT 75

CIO Business Intelligence

JUNE 29, 2022

Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

JUNE 29, 2023

Kinesis Data Analytics Studio uses Apache Zeppelin as the notebook, and uses Apache Flink as the stream processing engine. Kinesis Data Analytics Studio notebooks seamlessly combine these technologies to make advanced analytics on data streams accessible to developers of all skill sets. Choose Next. Choose Create stack.

Data Analytics 72

Data Analytics Analytics IoT Data Lake 72

Data Virtualization

JANUARY 20, 2022

Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.

Data Architecture 52

Data Architecture Data Integration Technology Management 52

Data Virtualization

JANUARY 20, 2022

Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.

Data Architecture 52

Data Architecture Data Integration Technology Management 52

CIO Business Intelligence

FEBRUARY 28, 2024

Digital transformation refers to using technology to fundamentally change how your organization operates and delivers value to your customers and stakeholders. However, it goes beyond simply acquiring new technologies. You may not have started your digital transformation at all and feel unsure where to start. This trend will continue.

Digital Transformation 52

Digital Transformation IoT Cost-Benefit Data Lake 52

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. data virtualization) play a key role.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 78

Data Lake Data Analytics Analytics Data Processing 78

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98