d2iq

JUNE 13, 2022

As our guest speaker, Forrester Research Principal Analyst Lee Sustar explains in a recent webinar entitled “ Three Trends Driving Cloud-Native Adoption ,” cloud-native technology is in a state of rapid and continual change, and organizations must adopt a cloud-native Kubernetes infrastructure that allows for continual change.

Enterprise 81

Enterprise Cloud Artificial Inteligence Open Source 81

d2iq

JUNE 23, 2022

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 78

AWS Artificial Inteligence DevOps Guidelines 78

CTOvision

JUNE 3, 2014

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. Learn more about the Pentaho Data Science Pack.

Artificial Inteligence 113

Artificial Inteligence Machine Learning Big Data Data 113

d2iq

AUGUST 18, 2022

Security Is Imperative Security is emphasized throughout the DoD Software Modernization Strategy, including the imperative that the new software capabilities “must augment and integrate with other infrastructure components to include Zero Trust Architectures (ZTA).”

Government 59

Government Journal Guidelines Open Source 59

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. AI and machine learning are becoming widely adopted in home appliances, automobiles, plant automation, and smart cities. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

d2iq

AUGUST 29, 2022

AI and Kubernetes a Perfect Match Another force driving Kubernetes adoption is the rapid maturation of artificial intelligence (AI) and machine learning (ML). One growth area, in particular, Casey notes, is the natural pairing of Kuberntes with artificial intelligence (AI) and machine learning (ML), which he calls a “star duo.”

Survey 87

Survey Artificial Inteligence Serverless Artificial Intelligence 87

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. By Bethann Noble, Director Product Marketing Machine Learning at Cloudera. Stay tuned. Register today!

Compliance 50

Compliance Innovation Meeting Industry 50

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Artificial Inteligence Machine Learning Data 40

Perficient

MARCH 3, 2023

Finally, you can further optimize the content experience with Adobe and AWS Solutions and service such as: Adobe Sensei, an industry-leading AI, machine learning solution to cut the time spent on tedious tasks like tagging, cropping, and adapting assets for each channel and device. You can download it here.

AWS 64

AWS Technical Review Load Balancer Cloud 64

Palo Alto Networks

JUNE 26, 2023

With AI and machine-learning at the forefront of innovation for Palo Alto Networks and Cortex, we are continuously finding new ways to improve and advance the modern SOC to revolutionize security operations. Additionally, you can now ensure streamlined Broker operations using high-availability architecture. and XSOAR 8.3

Artificial Inteligence 58

Artificial Inteligence Machine Learning Cloud Network 58

Palo Alto Networks

MAY 26, 2021

As a result, traditional wide area network (WAN) architectures have become a major bottleneck as they fail to enable direct access to cloud applications. Organizations are moving in full force to adopt the cloud with multicloud availability at the core of their digital transformation. Multicloud and SD-WAN.

WAN 52

WAN Google Cloud Cloud Network 52

TIBCO - Connected Intelligence

OCTOBER 19, 2020

If you aren’t able to rapidly adapt the services and capabilities of your digital platform to stay aligned with the needs of the business, then your underlying application architecture needs to be evolved so that it becomes more agile. One way to build this agility is by evolving to a microservices architecture. Click To Tweet.

Microservices 49

Microservices AWS Applications How To 49

Palo Alto Networks

JANUARY 23, 2020

Focus on Prevention-Based Architecture. . Prevention architecture may exist outside of the SecOps function itself, but it affects the efficiency and efficacy of achieving the SOC mission. Without a prevention-based architecture, analysts can be overwhelmed with false-positives and low-fidelity data.

Strategy 52

Strategy Weak Development Team Case Study Architecture 52

Cloudera

DECEMBER 28, 2017

Nordea, a joint Cloudera, Trifacta, and Arcadia Data customer, recently shared how they use data to comply with financial regulations – providing an inside look into how they use machine learning and analytic platforms to increase banking efficiency and comply with new regulations.

Banking 40

Banking Compliance Big Data Software Review 40

Tenable

JANUARY 16, 2024

Advancement: There will be increased integration of hybrid and multi-cloud technologies, driving the use of advanced machine learning technologies to enable predictive risk modeling and real-time exposure analysis. Successful organizations will increasingly integrate cloud telemetry into their overall exposure management strategy.

Trends 67

Trends Cloud Weak Development Team Generative AI 67

Cloudera

FEBRUARY 18, 2021

As the insurance industry adapts to changing consumer behaviors and expectations, insurers will see automation in claims processing gain traction, using Machine Learning (ML) and Artificial Intelligence (AI) to adjudicate more decisions than ever. . Check out our webinar with Privitar. . Trend #3: Cloud Considerations.

Insurance 107

Insurance Trends Data Artificial Inteligence 107

Cutter Consortium

AUGUST 5, 2019

They’re instrumenting their products with sensors that feed real-time data to a machine-learning model in the cloud. You must transform the marketing perspective of the platform into an architectural and implementation perspective. If you’re not a Cutter Consortium member you can watch the webinar on-demand here.)

How To 15

How To Architecture Artificial Inteligence Machine Learning 15

AWS Machine Learning - AI

FEBRUARY 19, 2024

The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution.

Knowledge Base 92

Knowledge Base Artificial Inteligence Applications Lambda 92

Cutter Consortium

AUGUST 5, 2019

Join Cutter Consortium Senior Consultant Katia Passerini on September 18 for her webinar Innovation Models Across Industries: A Linear or Complex Path? Cutter Fellow Lou Mazzucchelli will lead a Cutter Members-only peer-to-peer discussion on the potential risks posed by machine learning applications.

Artificial Inteligence 10

Artificial Inteligence Machine Learning Architecture Innovation 10

Actian

JULY 26, 2019

Analytics performance: How easy is it to adopt sophisticated analytical techniques at scale, such as machine learning, predictive analytics, deep learning, and IoT analytics? Check out the webinar here. Do you have the goal of developing composable analytics apps that could issue multiple complex queries in parallel?

Cloud 40

Cloud Data Analytics Case Study 40

ProtectWise

AUGUST 31, 2017

Considering how untenable that situation can become, the high total cost of ownership (TCO) of deploying and managing an IDS in the first place, and because IDS can only detect threats at the perimeter, it’s a wonder why they’re still an entrenched component of most organization’s security architectures.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Analysis Network 40

Cloudera

DECEMBER 21, 2020

A Cloudera Machine Learning Workspace exists . He has recently attended a Cloudera Fast Forward webinar where the latest trends and production-proven ML algorithms have been highlighted and exemplified. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Engineering service exists.

Data 98

Data Virtualization Banking Data Engineering 98

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Data Mesh: A type of data platform architecture that embraces the ubiquity of data in the enterprise by leveraging a domain-oriented, self-serve design.

Architecture 82

Architecture Data Artificial Inteligence Artificial Intelligence 82

AWS Machine Learning - AI

APRIL 23, 2024

However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. Nitin Eusebius is a Sr.

Knowledge Base 97

Knowledge Base Scalability Applications Generative AI 97

Palo Alto Networks

FEBRUARY 10, 2020

Ahead of the free multi-session webinar, we sat down with John Morello, vice president of product for Prisma Cloud Compute Edition, to get his thoughts on Cloud Native Security Platforms and preview what he’ll discuss during the summit. . Keep Learning. 11, Palo Alto Networks will host the Cloud Native Security Live – 2020 Summit.

Cloud 42

Cloud AWS Serverless Culture 42

Ivanti

OCTOBER 26, 2021

Ivanti Neurons for Secure Access helps customers modernize their VPN deployment and push to a Zero Trust architecture by centralizing VPN (Ivanti Connect Secure) and ZTNA (Ivanti Neurons for Zero Trust Access) management. To learn more about the capabilities in the latest Ivanti Neurons 2021.4 Ivanti Neurons for Secure Access.

Azure 40

Azure Compliance Windows Cloud 40

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT. Key components of the end-to-end architecture.

IoT 48

IoT Architecture Artificial Inteligence Machine Learning 48

Altexsoft

MARCH 22, 2022

Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. Synthetic data is artificial data that mimics real-world observations and is used to train machine learning models in those cases when actual data is difficult or expensive to get. What is synthetic data?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Training 52

Cloudera

APRIL 27, 2022

Real-time access to accurate data on customers that drives machine learning models are crucial to the accuracy of predictions or recommendations they make in real time. There are many more use cases that we will share in our upcoming webinar that examines these in the context of trends and future challenges. .

Windows 102

Windows Data IoT Analytics 102

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. Over 2000 customers and partners joined us in this live webinar featuring a first-look at our upcoming cloud-native CDP services. Cloudera received extraordinary interest in CDP from participants, exemplified by the more than 300 questions posed throughout the webinar.

Enterprise 89

Enterprise Cloud Data Data Center 89

Cloudera

SEPTEMBER 8, 2021

Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company. Data Platform Architecture. A simplified enterprise data architecture looks something like the figure below. The options available are: Migrate to a single cloud provider. Register here.

Data 81

Data Government Architecture Cloud 81

Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. He will explain each step of the way to help you get onto CDP.

Analytics 73

Analytics Big Data Government Cloud 73

TIBCO - Connected Intelligence

OCTOBER 8, 2019

There are real benefits to developing event-driven apps and architecture—to provide a more responsive and scalable customer experience. New tools are required to adopt event-driven architecture. Combat roadblocks that are commonly found in adopting an event-driven architecture. Your digital business requires new thinking.

Microservices 4

Microservices Open Source Scalability Architecture 4

Altexsoft

NOVEMBER 7, 2022

If this is not a big deal, read on to learn more about Airflow concepts and architecture which, in turn, predefine its pros and cons. Airflow architecture. Apache Airflow relies on a graph representation of workflows and modular architecture with several key components to be aware of from the start.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Cloudera

APRIL 21, 2021

You can learn more about how we moved to CDP [ADD WEBINAR DETAILS]. This architecture makes it harder to migrate workloads to a new cluster, as many workloads need to migrate at once. . In this blog, we discuss our journey to CDP for this critical cluster. Our Internal Environment Before Upgrade.

Cloud 122

Cloud Weak Development Team Development Team Review Software Review 122

Cloudera

APRIL 9, 2021

However, legacy data warehouses have limited support for public and private cloud deployment architectures. Modern data warehouse solutions take advantage of cloud design architectures and containerisation to provide consistent performance across public and private clouds. . Efficiency. Price-Performance. Source: [link]. Conclusion.

Data 59

Data Software Review Technical Review Architecture 59

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse. Basic Architecture for Real-Time Data Warehousing. for active archive or joining live data with historical data), or machine learning.

Data 99

Data Analytics Storage Big Data 99