From BI to AI

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.

Watch this session to learn the basics of data science, including the data science process, how data scientists think and do their best work, and how to attract and retain data scientists. The session will also cover basic data science terminology, types of algorithms, and technologies for different use cases so you can work more productively with your data science teams.

Watch this presentation to learn about the progression of the IoT market, highlighting the evolution from early closed-loop message response-based IoT-enabled products towards the establishment of the IoT-enabled enterprise. In particular, session will explore the role of
data primacy and governance and strategies for effectively leveraging the utility value of IoT data as the key ingredient for maximum leverage and insight.

This presentation covers how data architecture modernization involves many emerging technologies. Understanding the ecosystem of big data technologies can help organizations improve data processing and performance. This session will cover various big data technologies as they pertain to data volume, variety, velocity, and latency.

Data Explorer enables PDI users to visualize data at any point in their PDI pipelines to better spot inconsistent or missing data, making sure that the analytics they provide to analysts is right the first time around. We’ll walk through the basic features of Data Explorer, review its main use cases, and demonstrate how it can be used to both inspect data and rapidly publish prototype analytic sets for business users to consume in PUC without physically staging the data.

Analytics on your roadmap? Join this webinar to learn how product managers have benefitted with analytics embedded as a feature within their product. We will walk you through the common mistakes organizations make when implementing analytics, best practices to get to market faster and more effectively, as well as other tips gained from hundreds of embedded analytics implementations.

Join this webcast to discuss:
-The tricky “should you build or buy dilemma”
-Steps to embedding analytics including vendor evaluation criteria
-Overlooked challenges when embedding analytics into products
-Pentaho customer examples and recognized ROI

Want to learn more about the Pentaho Trial? Then attend this recorded webcast that focuses on big data and data integration best practices as well as how to get the most out of your Pentaho 30-day trial.

Other topics include:

* A review the components that are part of your trial and best approach to get started
*A discussion on the best way to connect to your data and manage your analytical pipeline
* A showcase our library of videos, tutorials and documentation for a smooth trial
* Highlights of proven best practices to make the most of your 30-day download

Watch this recorded webinar to learn more about how Pentaho can help you with big data integration and analytics. Other topics include:

* Pentaho's flexible enterprise-grade platform for blending data across diverse sources, such as Hadoop, NoSQL, relational databases, and enterprise applications

* Our flexible and interactive business analytics solutions for data exploration, visualization and consumption

* Embedding Pentaho's full array of business analytics seamlessly into your existing applications to drive data monetization and a better customer experience

* How customers like Caterpillar leverage Pentaho's end-to-end platform to drive transformational business results and ROI