Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Completing secure code reviews.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Capgemini

APRIL 7, 2021

This, combined with edge computing, makes it possible to not only monitor every asset and process parameter – which is the traditional value proposition of IoT and IIoT – but also to build decisioning capability and intelligence closer to the point of execution. This approach will transform operations and make business truly agile.

Industry 40

Industry IoT Agile Blockchain 40

IDC

APRIL 17, 2019

With hyper-agile architectures that embody containers, microservices and cloud functions, cloud content apps will benefit in allowing non-developers to assemble components to meet specific organization needs and add valuable business logic on top.

Agile 61

Agile Innovation Artificial Inteligence Cloud 61

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Blockchain. Spotlight on Innovation: Blockchain as a Service with Ed Featherston , June 12. Introducing Blockchain , June 21. Blockchain and Cryptocurrency Essentials , June 27. AI and machine learning.

Course 47

Course Training Artificial Inteligence Machine Learning 47

O'Reilly Media - Ideas

APRIL 3, 2019

Get hands-on training in TensorFlow, cloud computing, blockchain, Python, Java, and many other topics. Blockchain. Introducing Blockchain , May 3. Blockchain and Cryptocurrency Essentials , May 16. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , May 22. IoT Fundamentals , May 16-17.

Course 49

Course Artificial Inteligence Training Google Cloud 49

Confluent

FEBRUARY 6, 2019

And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are. Some examples of model deployment in Kafka environments are: Analytic models (TensorFlow, Keras, H2O and Deeplearning4j) embedded in Kafka Streams microservices.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Machine Learning for IoT , March 20. Blockchain. Introducing Blockchain , March 8. Building Smart Contracts on the Blockchain , March 21-22. IBM Blockchain Platform as a Service , March 25-26.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

O'Reilly Media - Ideas

MARCH 6, 2019

Blockchain. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , April 2. Blockchain Applications and Smart Contracts , April 2. Blockchain and Cryptocurrency Essentials , April 5. IoT Fundamentals , April 4-5. Microservice Fundamentals , April 15. Microservice Fundamentals , May 28.

Course 11

Course Artificial Inteligence Training Microservices 11

Apiumhub

SEPTEMBER 20, 2023

The Platform Summit will bring together influential figures from the global API economy, offering a rich reservoir of expertise concerning API design norms and optimal methods for microservices. This conference is organized by our friends from DevNetwork. API World puts the API Product lifecycle center stage. Interested in attending?

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

ParkMyCloud

OCTOBER 4, 2019

BRK3062 – API management for microservices in a hybrid and multi-cloud world. BRK3190 – Analyze, manage, and optimize your cloud cost with Azure Cost Management. BRK1074 – Announcing Bing Maps Geospatial Analytics Platform Preview for Enterprise Business Planning. THR2186 – Azure Databricks and Azure Machine Learning better together.

Azure 8

Azure Machine Learning Artificial Inteligence Conference 8

Confluent

SEPTEMBER 26, 2019

Prior to Rockset, Shruti led product management for Oracle Cloud, with a focus on AI, IoT, and blockchain. Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.

Analytics 20

Analytics Serverless Blockchain Microservices 20

Cloudera

FEBRUARY 4, 2019

It is a key capability that will address the needs of our combined customer base in areas of real-time streaming architectures and Internet-of-Things (IoT). It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and other streaming sources.

IoT 73

IoT Open Source Analytics Retail 73

Agile Engine

DECEMBER 3, 2023

35–48% savings reported by AWS for companies like Koch and Parsons 50% increase in costs reported by clients due to unoptimized AWS infrastructure Our experience: cutting AWS bills by up to 80% The optimization of AWS infrastructure and use has been a part of several of our projects focused on DevOps, microservices, and cloud migration.

UI/UX 52

UI/UX Budget Applications Technical Review 52

BPM

JANUARY 18, 2019

The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Datica

FEBRUARY 11, 2020

Cloud native – orchestrating containers as part of a microservices architecture – is a departure from traditional application design. Kubernetes and other cloud native technologies enable higher velocity software development at a lower cost than traditional infrastructure. Cost to attend: Ultimate Pass: $799. 1-Day pass: $319.

Conference 52

Conference Technical Review Healthcare Microservices 52

Progress

FEBRUARY 1, 2019

Called jsMobileConf , this conference brought in speakers from Microsoft, Adobe, Google, and Progress to talk about topics such as serverless, IoT, native apps, AR/VR, mobile web, AI, and more. We have long been breaking monoliths to create microservices that are atomic, independent and decoupled. Hope to see you there!

IoT 40

IoT Blockchain Serverless Mobile 40

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Use cases for IoT technologies and an event streaming platform. Use cases for IoT technologies and an event streaming platform.

IoT 20

IoT Internet Weak Development Team Scalability 20

Apiumhub

JULY 4, 2018

DDD: testing in microservices architecture meetup: Videos & Presentation . In June we organized our 5th DDD meetup, where Christian Ciceri – co-founder & software architect of Apiumhub talked about testing in microservices architecture. Blockchain technology: use cases, statistics, benefits, startups & events.

Microservices 74

Microservices Software Development Agile Video 74

Sunflower Lab

MARCH 14, 2023

is a JavaScript library for interacting with the Ethereum blockchain and its ecosystem. Because of microservices developers can also create small and independent deployment services for the creation of a larger application. Some examples include IoT solutions, real-time chatbots and messengers, and complex single-page apps.

Software Review 52

Software Review Development Technical Review MVC 52

Sunflower Lab

MARCH 14, 2023

is a JavaScript library for interacting with the Ethereum blockchain and its ecosystem. Because of microservices developers can also create small and independent deployment services for the creation of a larger application. Some examples include IoT solutions, real-time chatbots and messengers, and complex single-page apps.

Software Review 40

Software Review Development Technical Review MVC 40

Bernd Rucker

JULY 13, 2021

Integration processes : Processes that focus on the integration of systems or services, for example to orchestrate microservices or guarantee consistency when doing remote communication. Node Red): IoT use cases are often tackled with dedicated tooling that I would categorize as task automation. Internet of things (e.g.

Open Source 58

Open Source Tools Technical Advisors Off-The-Shelf 58

TIBCO - Connected Intelligence

DECEMBER 20, 2021

This capability combines microservices and APIs, case management, decision management, and analytics into a single unified application. TIBCO LABS Gallery gives TIBCO Cloud users access to TIBCO LABS’ interactive demos and cutting-edge developments in IoT, blockchain, edge analytics, augmented reality, and composable apps.

Innovation 26

Innovation Analytics Virtualization Cloud 26

CIO

JANUARY 24, 2024

The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). There are different architectural styles, like Layered and Microservices, each with its own pros and cons. The choice between them depends on the specific situation.

Artificial Inteligence 297

Artificial Inteligence Architecture Artificial Intelligence Machine Learning 297