O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Blockchain. Business Applications of Blockchain , July 17. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , July 25. Real-time Data Foundations: Spark , August 15. Programming.

Course 67

Course Training Artificial Inteligence Software Review 67

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. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17.

Course 60

Course Training Artificial Inteligence Machine Learning 60

Mobilunity

APRIL 7, 2025

With the increasing adoption of next-gen technologies 94% of enterprises adopting cloud services, 97% using or planning to embrace microservices, and 97% relying on APIs for digital transformation businesses demand resilient and flexible backend solutions to stay competitive.

UI/UX 40

UI/UX Technical Review Development Software Review 40

O'Reilly Media - Ideas

MARCH 12, 2019

O’Reilly Radar is a process that assimilates signals and data to track, map, and name technology trends that impact many aspects of modern business and living. Analysis of the O’Reilly online learning platform shows growing engagement with cloud, orchestration, and microservices topics. It’s too early to tell.

Artificial Inteligence 15

Artificial Inteligence Blockchain Architecture Artificial Intelligence 15

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 21

Analytics Serverless Blockchain Microservices 21

O'Reilly Media - Ideas

APRIL 3, 2019

Get hands-on training in TensorFlow, cloud computing, blockchain, Python, Java, and many other topics. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , May 28-29. Blockchain. Introducing Blockchain , May 3. Blockchain and Cryptocurrency Essentials , May 16.

Course 65

Course Artificial Inteligence Training Google Cloud 65

Xicom

AUGUST 30, 2021

But, now is the right time when fintech moves past the primary amenities of just online payments and sheaths everything under the app development process; varying from credit risks to running hedge funds with the help of emerging technologies like Blockchain, Machine Learning algorithms and data science. . Finastra ).

Fintech 52

Fintech Trends Development Blockchain 52

O'Reilly Media - Ideas

APRIL 13, 2023

Imagine application storage and compute as unstoppable as blockchain, but faster and cheaper than the cloud.) They run on any cloud or other data-center and reward service providers through fees they collect from users. Data scientists coding in notebooks like Databricks frequently rerun the same transformations on source data.

Technical Review 145

Technical Review Authentication Storage Serverless 145

Exadel

DECEMBER 4, 2019

With new IT challenges emerging daily, we aim to continue our commitment to innovating and delivering software around new technologies like Kubernetes and blockchain. . In addition, CrossKube has full support for Kubernetes, Bastion Firewall, multiple data sources, microservice architecture, QA automation, and Zabbix monitoring.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

OTS Solutions

MAY 2, 2023

With IoT solutions , businesses can collect data remotely and use it to optimize operations, enhance customer experiences, and develop new revenue streams. Blockchain: Blockchain technology has become an important technology in digital transformation. Embrace AIOps (AI operations) to support multi-cloud and microservices.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 130

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

FEBRUARY 4, 2019

He has an impressive track record of taking new integration/mobile/IoT/Big Data products to market with a clear GTM strategy of pre-and-post launch activities. Dinesh’s areas of expertise include IoT, Application/Data integration, BPM, Analytics, B2B, API management, Microservices, and Mobility.

IoT 73

IoT Open Source Analytics Retail 73

Confluent

OCTOBER 10, 2019

Different teams can develop, maintain, and change integration to devices and machines without being dependent on other sources or the sink systems that process and analyze the data. Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. Kai Waehner works as technology evangelist at Confluent.

IoT 20

IoT Internet Weak Development Team Scalability 20

Confluent

FEBRUARY 6, 2019

Some examples of model deployment in Kafka environments are: Analytic models (TensorFlow, Keras, H2O and Deeplearning4j) embedded in Kafka Streams microservices. Anomaly detection of IoT sensor data with a model embedded into a KSQL UDF. RPC communication between Kafka Streams application and model server (TensorFlow Serving).

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Similarly, blockchain technology powers new financial products and services, such as digital currencies and smart contracts.

Software Development 52

Software Development Trends Technology Software 52

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. Boston, MA.

Conference 52

Conference Technical Review Healthcare Microservices 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Existek

OCTOBER 7, 2021

When this situation happens all over again for months or years, a bank, based on this data, can offer a user to set up a deposit so that the money wouldn’t be underutilized. To make conclusions of one kind or another, a colossal amount of data should be processed by particular algorithms. Blockchain. Microservices.

Fintech 52

Fintech Development UI/UX Software Review 52

O'Reilly Media - Ideas

JANUARY 25, 2022

And it’s no surprise that there’s a lot of interest in blockchains and NFTs. To understand the data from our learning platform, we must start by thinking about bias. First, our data is biased by our customer base. Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

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