O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Blockchain. Business Applications of Blockchain , July 17. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , July 25. Data science and data tools.

Course 49

Course Training Artificial Inteligence Software Review 49

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. AI and machine learning.

Course 47

Course Artificial Inteligence Training Google Cloud 47

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Private cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Mobilunity

MAY 20, 2021

As mentioned before, there are different cloud providers with their specific platforms. It means that a Google cloud certified associate cloud engineer can work with GCP but probably won’t be any good with AWS or Azure. Google’s platform is in third place, with 49% of enterprises using it in 2021. Alibaba Cloud.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Existek

FEBRUARY 7, 2024

Artificial intelligence and machine learning Leveraging sophisticated AI algorithms and data analytics empowers mobile banking application development to provide customized financial guidance, identify and prevent fraudulent activities, and enhance overall customer service.

Banking 52

Banking Applications Technical Review How To 52

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Blockchain. Spotlight on Cloud: The Hidden Costs of Kubernetes with Bridget Lane , June 6. Introducing Blockchain , June 21.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. No matter what other platforms are supported, chances are very high that your data scientists will build and train their analytic models with Python. You need to think about the whole model lifecycle.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Blockchain. Introducing Blockchain , March 8. Building Smart Contracts on the Blockchain , March 21-22. IBM Blockchain Platform as a Service , March 25-26. Blockchain for Enterprise , April 1.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

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. Business Data Analytics Using Python , April 29. Introduction to Google Cloud Platform , April 3-4.

Course 10

Course Artificial Inteligence Training Microservices 10

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Source: IoT Analytics. The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. AWS IoT Analytics. Google Cloud IoT: driving transportation with Google Maps.

IoT 141

IoT Azure AWS Transportation 141

d2iq

FEBRUARY 6, 2023

The solution uses state-of-the-art cloud technologies, the Kubernetes ecosystem that enables automation of operational tasks based on containerization of applications, and the open-source vender-neutral Dicoogle PACs application.GE In “ Building the solar plant of the future with cloud technologies ,” Daniele Polencic of learnk8s.io

Blockchain 64

Blockchain Healthcare Artificial Inteligence Energy 64

OTS Solutions

FEBRUARY 16, 2023

It ensures seamless communication between the cloud and the user by providing real-time analytics for cloud computing. These technologies have different purposes and can enhance the services provided to clients. Blockchain: This technology helps to record the transactions of assets.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

ParkMyCloud

DECEMBER 10, 2019

2010 Cloud Prediction. Amazon Cloud Revenue Could Exceed $500 Million In 2010, CRN (2010). Growth among Microsoft Azure and Google Cloud Platform has also not been too shabby but AWS has held (and in many ways strengthened) its dominant position over the last decade.

Technical Review 12

Technical Review Trends Cloud Software Review 12

Existek

JANUARY 27, 2023

Similarly, blockchain technology powers new financial products and services, such as digital currencies and smart contracts. Emerging technologies such as blockchain, AI, and machine learning are also becoming increasingly important in financial services software development.

Software Development 52

Software Development Trends Technology Software 52

Confluent

OCTOBER 10, 2019

In some scenarios, the main challenge and requirement is to ingest data into Kafka for further processing and analytics in other backend systems. The content of this blog post is also captured in this interactive lightboard recording called End-to-End Integration: IoT Edge to Confluent Cloud.

IoT 20

IoT Internet Weak Development Team Scalability 20