Name: Powering EnterpriseDB Postgres with the right infrastructure
Start: 2017-09-11T01:50:00Z
End: 2017-09-11T02:39:27.000Z
Location: BrightTALK
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Discover videos and webinars presented by IBM APAC

You’re aware of H2O.ai and how it is helping customers across the world gain an edge. Now it's time to do a deep dive into the platform.
 
Join this webinar to find out how you can have the best ML models up, running and inferencing in a matter of minutes! You’ll learn about:

- An automated ML solution which removes challenges in model selection, training, and hyper-parameter tuning (usable by non-Data Scientists too!)
- Generating machine learning experiments that are interpretable easily by laymen, business stakeholders, and regulatory authorities.
- A real LIVE demonstration used widely in the financial industry today.

Presenters:
Harshal Patil - Business Development Executive PowerAI/Cognitive Platforms,
IBM

Sunny Harsha Punjabi - Server Marketing Manager, IBM Asia Pacific

H2O Driverless AI – Making ML Models in a Matter of Minutes

IBM’s PowerAI Vision makes it easy to deploy deep learning vision models with a just few clicks, drag and drops and no coding at all. It includes the most popular deep learning frameworks and is built for easy and rapid deployment.
 
Join our webinar to see various use cases of PowerAI Vision in many different industries. Here’s what you’ll take away after attending our webinar:
 
- How to create visual recognition models easily
- How to unlock faster and more accurate insights from video content
- Successfully deploy and scale such systems across your organization

Computer vision made easy - IBM PowerAI Vision

H2O.ai, a leading open source machine learning and artificial intelligence platform, is here to help data scientists do 'AI with AI!.'  H2O.ai is a Leader in the 2018 Gartner Data Science and Machine Learning Platforms and is already driving value in 50% of the Fortune 500 companies and 14,000 enterprises globally.

 

Listen to this webinar to find out how you can benefit from this industry leading ML & AI platform.

 

- How H2O Driverless AI works
- How H2O Driverless AI complements IBM’s own PowerAI platform
- Why IBM Power Systems enables H2O’s platform to get maximum performance gains

Doing AI with AI: How Open-Source AI Platforms Help Data Scientists

Artificial Intelligence (AI) and Machine Learning (ML) became buzzwords in 2018. But only two-fifths (39%) of senior executives believe their organizations are getting the most value out of AI and machine learning according to a RELX Emerging Tech Executive Report, which polled 1,000 US senior executives.

 

The question then before enterprises is how they go from proof of concepts to production by transitioning their ML/DL sandboxes into mission-critical AI deployments. In this webinar, you will learn how to capitalize on an open-source based Enterprise AI platform. It enables:

 

• Elastic distributed Training: Scale GPUs as Required

• Drastic reduction of ML/DL Training times: days to hours, hour to minutes

• Secured and multi-tenant environment

• Larger, more complex model support

• Automatic Quality of Service (QoS)

How to Make Open Source Experimental AI Deployments in the Enterprise

Artificial Intelligence (AI) and Machine Learning (ML) became buzzwords in 2018. But only two-fifths (39%) of senior executives believe their organizations are getting the most value out of AI and machine learning according to a RELX Emerging Tech Executive Report, which polled 1,000 US senior executives.


The question then before enterprises is how they go from proof of concepts to production by transitioning their ML/DL sandboxes into mission-critical AI deployments. In this webinar, you will learn how to capitalize on an open-source based Enterprise AI platform. It enables:

 

• Elastic distributed Training: Scale GPUs as Required

• Drastic reduction of ML/DL Training times: days to hours, hour to minutes

• Secured and multi-tenant environment

• Larger, more complex model support

• Automatic Quality of Service (QoS)

H2O.ai, a leading open source machine learning and artificial intelligence platform, is here to help data scientists do 'AI with AI!.'  H2O.ai is a Leader in the 2018 Gartner Data Science and Machine Learning Platforms and is already driving value in 50% of the Fortune 500 companies and 14,000 enterprises globally.

Listen to this webinar to find out how you can benefit from this industry-leading ML & AI platform.

- How H2O Driverless AI works
- How H2O Driverless AI complements IBM’s own PowerAI platform
- Why IBM Power Systems enables H2O’s platform to get maximum performance gains

Doing AI with AI: How Open-Source AI Platforms Help Data Scientists 

As data is growing at an exponential rate, organizations are increasingly looking to leverage streaming data from mobile devices, wearable technology and sensors for real-time processing and analytics. Gartner estimates that, “By 2020, 70% of organizations will adopt data streaming to enable real-time analytics.” However, implementing real-time data ingest, processing and delivering insights at scale requires infrastructure with zero latency and easy access to information when it is required.

In the webinar, we’ll discuss:
 
- Adopting Modern Data Lake with the Hortonworks Data Platform (HDP)
- Accelerating real-time data analytics with Hortonworks Data Flow (HDFTM) and Attunity to build a data lake
- Solving challenges with real-time data ingest and managing data in motion workloads

Join subject matter experts from IBM and Hortonworks for a joint webcast to help you accelerate real-time data analytics and manage your data workloads efficiently.

Accelerating Real-Time Data Analytics with Hadoop on IBM OpenPOWER

Modern artificial intelligence, high performance computing and analytics workloads are driving an ever-growing set of data intensive challenges. The next generation of IBM Power Systems (AC922), with POWER9 technology, is built to meet these challenges with innovations that deliver unprecedented speed for the AI era.

In the webinar, we’ll discuss:

- The latest advances of the POWER9 based servers (e.g - 5.6x more I/O, 2x more threads and 2x the bandwidth of their x86 contemporaries etc.)
- Why they are ideal for next generation workloads (big data, machine-learning and deep-learning and future AI workloads)
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Join a subject matter expert from IBM and find out how your organization can take advantage of these next generation systems. Register now.

IBM Power 9 - An open platform for Next Gen workloads

Feeling locked into your database management system because of your investments in technology and people. What if you could retain your investments with the same level of performance, similar look and feel, without the need to retrain staff, but under much more agreeable costs?

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Partner Senior Product Marketing and Management
TmaxSoft

Feeling Trapped by Your Database Vendor? We’ll Help You Retain Your Investments

Many customers are transforming their big data analytic capabilities with Hortonworks – through Hortonworks Data Platform (HDP) for data at rest and through Hortonworks DataFlow (HDF) for data in motion. HDP provides a comprehensive platform to help you modernize traditional Data Warehouses to scalable Data Lakes to extend your big data analytic reach.

In the webinar, we’ll discuss:

- How to accelerate Data Lake insights and develop business relevant analytics.
- Transform your data journey by accelerating Modern Data Warehousing with HDP on IBM Power Systems. 
- Some use cases of customers who have benefited by getting more data faster, enabling valuable analytics for better and quicker decision making.

IBM and Hortonworks have teamed up for a joint webcast to help you modernize Data Warehouses to Data Lakes using HDP as well as share some customer success stories.

Presenters: 
Ashish Kumar
IBM Systems Cognitive Solution Technical Leader, IBM
Arun Kumar Lakshminarayanan
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Modernizing Data Warehouses to scalable Data Lakes with IBM and Hortonworks

Many of the organizations today spend a significant part of their IT budgets on licensing cost charged by some proprietary database vendors. From the standpoint of an organization looking to cut costs in their database environment and increase organizational agility the appeal of an open source solution is clear. Open source databases are being recognized as an effective alternative to the proprietary, commercial databases and EDB Postgres has been deemed ready for enterprise-level prime time by Gartner.

However, while planning for EDB Postgres deployment, clients need the right infrastructure in place in order to maximize performance. Join this live and interactive webcast as Subject Matter Experts from EDB Postgres and IBM discuss on:

The shifting database landscape towards open source investments

How to lower total cost of ownership and increase organizational agility with open source databases

How to free up scarce resources for mobile, analytics, and social applications

How you can achieve better performance than x86 with fewer cores at a lower cost by leveraging IBM’s Power Systems platform for EDB Postgres annual subscriptions

Powering EnterpriseDB Postgres with the right infrastructure

NoSQL Open databases are well known for dealing with the explosive growth of unstructured data as they reduce database cost and provide faster access to data. MongoDB, which is used by the world’s top businesses, is No. 1 in this area because it harnesses the advances of NoSQL while maintaining the integrity of relational databases.

In this webinar, you will be introduced to how to maximize the performance of MongoDB with the right infrastructure through several references:

How MongoDB can help your business digital transformation better.
References of delivering 6X more ops/sec and improving the online customer experience.
References of reducing floor space by 75% and cost by 50%.
Join this webinar to learn how to capitalize on the growth of unstructured data with the right IT environment.

MongoDB - Capitalizing on Unstructured Data and Reducing Cost

The concept of the container as technology is not new; In recent years it has seen remarkable attention from every industry. The adoption of containers is increasing beyond just stateless conditions such as a load balancer or a web application server. For many adopters of container technology, the persistent storage and data management are the top pain points.
The way how storage is consumed has indeed changed - This talk is to take you through the journey of data storage evolution. You'll understand the challenges in data storage world due to the demand of new way of consuming storage by the container. Specific use cases, the solution of storage in container environments such as Docker Swarm and Kubernetes will be discussed. 

Speaker Biography
Kumar Nachiketa is a data storage consultant in IBM Systems Lab Services, ASEAN based in Singapore. In his 11 years of career, he's been helping customers from various industry solving typical data storage challenges in several ways - deployment, consulting, finding ways to evolve.  He is currently focusing on IBM Software Defined Storage and cloud technologies. He has co-authored IBM Redbooks on IBM storage cloud and OpenStack integration with IBM Spectrum Scale.

Breaking the Rules of Traditional Storage with Containers!

Organizations, these days, want to rapidly deliver and scale new services and analyze the data simultaneously. They aim to exploit this data leveraging cognitive technologies. For that, data mobility and workload mobility are core competency requirements. The best platform for managing unstructured data is hybrid cloud. Storage forms the underpinning technology to the hybrid cloud platform. 

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1) How to make cognitive differentiation with data
2) Easier data access, management, scalability through Software-Defined Storage(SDS)
3) How to protect your data seamlessly by implementing SDS

Watchi this webcast and learn how to deliver the right data at the right location at the right time in a secure manner.

Solving Tomorrow's Data Backup And Availability Issues Today

With an extraordinary powerful in-memory capability, SAP HANA combines everything from transactions and the Internet of Things to big data analytics, in order to deliver best in class solution. However, without the right infrastructure in place, migration to HANA can be daunting and lead to performance related issues.

Join us in this webinar to know more about:

1. Why SAP HANA for your business, when is the right time to start the transition and how can you get the best performance out of it.
2. What defines and differentiates SAP HANA as a true Modern Data Platform for both SAP and non-SAP customers?
3. Challenges you can face with your existing infrastructure – the risk, friction and cost.
4. How can we can help with infrastructure consolidation and rationalisation today for you to reap benefits in the future HANA deployment.

Deploying the Strategic Roadmap for your SAP HANA Journey

The effort to manage and leverage explosion of data has led to Hybrid cloud and cognitive computing, but conventional infrastructure and storage doesn't meet the needs of Hybrid cloud and cognitive computing.

There is a strong demand for new storage approaches with which businesses can maximize application performance and drive efficiency for Hybrid Cloud and cognitive computing.

Join the webinar and find out how to stay ahead in the era of Hybrid Cloud and Cognitive computing.

You will learn how you can: 

Support growth of your critical business areas with proper infrastructure
Drive down Total Cost of Ownership inclusive of cap-ex and Op-ex
Make your IT infrastructure agile depending on business requirements.

Speaker Bio:

Barry works for the IBM ATS team covering Storage Virtualization for the AP region. In his 20 years at IBM, he has worked on the successful Serial Storage Architecture (SSA) and the IBM DS8000 range.

Barry joined the SVC development team and has held many positions before taking on his long running role as performance architect. As a part-time job he also works as a performance consultant.

Harness the Advantage of Virtualized All-Flash Storage

The explosive growth of modern applications that drive business value based on new data sources such as big data, mobile and social data are becoming problematic for traditional relational databases. These business critical modern applications often need rapid access to a constant stream of small reads and writes for millions of records that don’t fit into traditional SQL database structures.

NoSQL can be a better option to relational databases for state-of-the-art applications. MongoDB, the leading open source database, is a scalable, high-performance open source document-based database that harnesses the innovations of NoSQL and  maintains the foundation of relational databases. Moreover, when deployed on the right hardware infrastructure, it can lead to a lower total cost of acquisition and provide significantly greater performance.

Join us in this live webinar to learn more on:        

- Why Modern digital applications would benefit from using noSQL, and in particular MongoDB    
- Why speed is so important for business critical applications that use big data, social and mobile data    
- How IBM Power Systems achieves a 2x price-performance for leading MongoDB workloads versus Intel

MongoDB for Modern Applications

Join this live and interactive webcast as Subject Matter Experts from EDB Postgres and IBM discuss on:

The shifting database landscape towards open source investments

How to lower total cost of ownership and increase organizational agility with open source databases

How to free up scarce resources for mobile, analytics, and social applications

How you can achieve better performance than x86 with fewer cores at a lower cost by leveraging IBM’s Power Systems platform for EDB Postgres annual subscriptions

Systems

OSDB

Modern Data Platform

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Powering EnterpriseDB Postgres with the right infrastructure

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