From BI to AI

Join us for a series of webinars to provide guidance on creating a DevOps environment in which building, testing, and releasing a Pentaho Data Integration (PDI) DevOps solution can be faster, more reliable, and deliver a high-quality solution. Introduction to PDI and DevOps serves as a “prequel” to the more advanced concepts of Continuous Integration and DevOps.

Smart spaces improve customer outcomes by blending, existing and new data sources from the physical and digital worlds. It helps you make, real-time, predictive, data-driven decisions.

Watch this session to get insights on:

- The value of an easy to use interface with advanced capabilities for data engineering
- How to correctly process data engineering.
- The collaboration between business analysts, data scientists and data engineers

Competition drives innovation. It lowers prices, improves quality and with the rise of “free information”, generates entirely new products. As Paul Collier writes in The Bottom Billion, small savings in the basic necessities of life can mark the difference between prosperity and suffering.

Join us to hear how IoT and AI drive new efficiencies in energy production, agricultural output, and medical care, and how these key technologies will help us transform the lives of billions of people.

Are you looking to derive more value from one of your most important assets, data? To modernize your business, it’s important to unlock your data while overcoming common challenges at the same time.

Real-world examples show you how to overcome these issues so that you can deliver meaningful business outcomes.

To get competitive edge, you need insights from data. As your customers become increasingly data-driven, you have the opportunity to add analytics capabilities to your offerings to bring them additional value.

Join us in our upcoming webinar where we discuss how embedding analytics into your product can help you:
•Increase product differentiation
•Drive new software revenue
•Drive greater product engagement among your customers

Today’s data scientists use machine learning to predict trends, plan ahead of demand and events, and uncover patterns and behaviors. But they spend a significant amount of time on data engineering rather than actual data analysis, delaying the operationalization of machine-learning projects.

Find out how you can solve this challenge and help your data scientists be more productive.

About our speaker:

Dr. Engin Cukuroglu is a data scientist at Hitachi Vantara, Singapore. He received his BS in chemical and biological engineering and has a MS and a doctorate in computational science and engineering. His studies primarily focused on data analytics and big data in protein-protein interactions. After getting his degrees, he analyzed genomic data and developed pipelines for cancer and stem-cell research. His findings have been published in peer-reviewed journals.

Dr. Cukuroglu is currently working with rail operators, mining companies, manufacturers, banks, fleet operators and delivery partners in Asia-Pacific to enable their machine-learning and predictive-analytics strategies.

Please join us in a webinar focusing on setting-up Pentaho products for a quick and easy evaluation; production installation, configuration, and administration; and guidelines for upgrading to the current version of Pentaho.

Along the way, we’ll explore the various components and technical requirements necessary to install and upgrade Pentaho. We’ll also share checklists and step-by-step instructions that can be part of your playbook to ensure a durable and repeatable upgrade/install process across your environments.

Today’s data scientists use machine learning to predict trends, plan ahead of demand and events, and uncover patterns and behaviors. But they spend a significant amount of time on data engineering rather than actual data analysis, delaying the operationalization of machine-learning projects.

Find out how you can solve this challenge and help your data scientists be more productive.

About our speaker:

Dr. Engin Cukuroglu is a data scientist at Hitachi Vantara, Singapore. He received his BS in chemical and biological engineering and has a MS and a doctorate in computational science and engineering. His studies primarily focused on data analytics and big data in protein-protein interactions. After getting his degrees, he analyzed genomic data and developed pipelines for cancer and stem-cell research. His findings have been published in peer-reviewed journals.

Dr. Cukuroglu is currently working with rail operators, mining companies, manufacturers, banks, fleet operators and delivery partners in Asia-Pacific to enable their machine-learning and predictive-analytics strategies.

The transition from descriptive to predictive & prescriptive analytics is speeding up across digitally native industries, while more traditional industries are lagging behind. This transition often requires usage of machine learning techniques and a variety of data formats. Many companies find it difficult to complete. In this webinar, we review barriers for implementation, best practices, interesting use cases and success stories coming from steel and oil industries. Also, we will show how IoT data can be used to predict health problems of cows at farms. Moooving to cutting-edge analytics is possible for everyone!

Wael Elrifai, co-author of the book, “The Future of IoT”, shares his experience of recent changes in IoT technology, new terminology, and the complex challenges of scaling from sensor technologies to whole smart cities. Wael also explains how his passion for sustainable development and innovation come together to achieve good.

According to the Harvard Business Review, less than half of an organization’s structured data is used in making business decisions, and less than 1% of unstructured data is used in any way at all. Pentaho 8.2 release leverages Hitachi Vantara’s expertise in storage and content intelligence to unlock your dark data for complex on-premise, hybrid, and multi-cloud use cases. And, with a new Python step to execute models that call algorithms within popular libraries such as TensorFlow and Scikit-learn, it is now simpler, faster and more efficient to embed data science capabilities into a data pipeline.

Check out this Webinar to learn more about these new Pentaho capabilities allowing unstructured data analytics, hybrid cloud and data science integration, as well as:

• Jupyter Notebook Integration
• AMQP ingestion
• Improved Google Cloud security
• OpenJDK support

Building data science solutions for business does not solely rely on the intellectual capacity of data scientists. Besides leveraging their mathematical and analytical skills on models development, data science teams need to effectively address the hardship of:

- working with big data sources and unstructured data,
- spending too much time on data processing tasks,
- deploying the final solution to production and automation.

In this talk, we discuss the importance of tools for ETL/ELT and analytics orchestration for unleashing the full potential of data science teams.

This webinar will be the first in a series focusing on DevOps and how it can help to create an environment in which builds, tests, and releases of software solutions can be done with more ease and reliability.

Our presenter Andrés Pérez, who is an Enterprise Solutions Architect for Hitachi Vantara, will be covering:

What is DevOps?
- Lifecycle
- Maturity & Phases
- Challenges & Goals

Focus on Continuous Integration
- Lifecycle Diagram
- Solution Repository
- Testing
- Handling CI

Along the way we will also explore the various components and technical requirements necessary to install and upgrade the platform.

This free 1-hour webinar from GigaOm Research brings together leading minds in the Internet of Things (IoT), featuring GigaOm analyst Andrew Brust, joined by guests from IoT powerhouse Hitachi Vantara, which now includes the team behind Pentaho Data Integration and Analytics. The roundtable discussion will focus on the results of a comprehensive IoT research survey conducted by Gigaom Research and commissioned by Hitachi Vantara.

In this 1-hour webinar, you will discover:

- How Enterprise customers are using IoT and where they are in their
planning, evaluation and deployment of IoT solutions?
- The scope of today’s IoT initiatives, in terms of use cases and mission
criticality
- Who the IoT leaders, funders and champions are in companies of
different size, across different industries
- Recommendations for IT and data professionals to stay ahead of the
Big Data and IoT landscape.

You’ll learn about factors and metrics germane to IoT initiative success, the architectures necessary for that success and the best approaches to IoT technology and partners.

Pentaho 8.1 helps organizations minimize risk and optimize costs by managing and processing data in multi-cloud environments. Now it is easy to maintain information across all three public clouds: Google Cloud Platform, Microsoft Azure and Amazon Web Services (AWS).

In addition to the cloud innovations, Pentaho 8.1 helps solve more business problems with connector enhancements to an even wider variety of data, including streaming data sources.

Join the Pentaho product team as we discuss 8.1 features to help modernize your analytic data pipeline:

• Deploy in hybrid and multi-cloud environments with
comprehensive support for Google Cloud Platform,
Microsoft Azure and AWS for both data integration and
analytics;

• Connect, process and visualize streaming data, from MQTT,
JMS, and IBM MQ message queues and gain insights from
time series visualizations;

• Get better platform performance and increase user
productivity with improved logging, additional lineage
information, and faster repository access.

We will also be showing a live demo of our multi-cloud and streaming data source support as well as other 8.1 features.

Business intelligence is evolving from traditional look-back analysis to forward-thinking prediction and prescription. Join Naser Ali of Hitachi Vantara in this webinar where he'll cover the following concepts:

- Understanding why AI isn’t an academic pursuit or anything like traditional analysis
- Why the value of AI comes from developing whole new processes
- What to expect and when on the journey to predictive and prescriptive outcomes
- A skills and infrastructure checklist
- Plus: Gotchas - spotting the pitfalls and roadblocks

IoT has the potential to change the competitive landscape and drive transformation that leads to new business models. However, much of the machine-generated data collected today is not fully exploited or even used. Watch this presentation to learn about marrying big data together with machine data to realize your full IoT potential.