Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.
Based on IIA's new and updated research on organizing analytics teams, Research Advisor Bob Morison will review the objectives and variables of organizational structure and share examples of how enterprises are adjusting their structures to deploy and develop analysts effectively, incorporate new methods and technologies, address strategic business opportunities, and leverage the analytics ecosystem.
For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention.
Join this webcast to learn and discuss the best practices and trends coming for AI in IoT.
About the speaker:
Ahmed Banafa has extensive experience in research, operations and management, with focus on IoT, Blockchain and AI. He is a reviewer and a technical contributor for the publication of several technical books. He served as a faculty at well-known universities and colleges, including the University of California, Berkeley; California State University-East Bay; San Jose State University; and University of Massachusetts. He is the recipient of several awards, including Distinguished Tenured Staff Award of 2013, Instructor of the year for 2013, 2014, and Certificate of Honor from the City and County of San Francisco. He was named as number one tech voice to follow by LinkedIn in 2016, his researches featured in many reputable sites and magazines including Forbes, IEEE and MIT Technology Review, and Interviewed by ABC, CBS, NBC and Fox TV and Radio stations.
This webinar will focus on the issues surrounding the “Total Installed Cost” (TIC) of Backbone/Riser fiber cabling. We will explore the contributing factors to variability of TIC, focusing on field termination skill and the impact of permanent link testing on the individual connector PASS/FAIL decision making process (via a mathematical model).
We will also review the development of new tools and novel methods to mitigate errors that estimate Insertion Loss (IL) in field terminated connectors, including new “expert system” technology deployed to test connector IL during the termination sequence.
Artificial Intelligence is a part of our daily lives through the use of technologies like virtual assistants such as Cortana, smart homes, and automated customer service. We also have the power of the Internet of Things technology in organizations. How can we put them together for success in our organizations?
Businesses are running the Red Queen's race not just to win, but to survive in a world where Artificial Intelligence and IoT are becoming the present as well as the future of technology, and ideas are developing into reality at accelerated rates.
How can you help your company to evolve, adapt and succeed using IoT and Artificial Intelligence to stay at the forefront of the competition, and win the Red Queen's Race? What are the potential issues, complications, and benefits that the future of technology could bring to us and our organisations, right now?
In this session, Jen Stirrup will explain the quick wins to win the Red Queen's Race in AI and IoT to help you and your organization to win the Red Queen's race.
Efforts to derive value from Edge Computing and IoT continue to grow.
In addition to the multitude of PoCs taking place in the Cloud, scaled up implementations are increasingly looking at local persistent data and the underlying device and gateway technologies that are evolving to accommodate this new design requirement. Central to this shift is the growth of developer communities around Android, iOS, embedded Linux and Windows, Intel/ARM and others, driving a surge of new applications with locally managed and analyzed data on IoT/OT edge devices and gateways.
Considerations for metadata management, data movement, security, and governance of data associated with these apps, overhead for processing and packaging, and security concerns will require on-device and gateway persistent storage. Flat file systems and other prior tools don’t meet modern embedded data management platform or analytics requirements.
Join us to hear how to deliver persistent data management at the edge.
- Avoid the hassle and security complications that ETL between things, gateways and datacenters will create.
- Experience a real-world demo in Python with source code samples showing how you can code once and deploy to multiple target platforms.
Believe it or not, there was a time when collecting potentially responsive ESI from email systems for discovery was once considered overly burdensome. Now, it’s commonplace and much of it can be automated. But, that’s not where all of the responsive ESI resides today – much of it is on your mobile device, in social media platforms and even in Internet of Things (IoT) devices. Are you ignoring this potentially important data? Do you have to hire a forensics professional to collect this data or can you do much of it on your own? This CLE-approved* webcast will discuss what lawyers need to know about the various sources of ESI today, examples of how those sources of data can be responsive to litigations and investigations, and how lawyers may be able to collect much of this data today using intuitive applications and simple approaches. Topics include:
+ Challenges from Various Sources of ESI Data
+ Ethical Duties and Rules for Understanding Technology
+ Key Case Law Related to Mobile Devices, Social Media and IoT
+ Options and Examples for Collecting from Mobile Devices
+ Options and Examples for Collecting from Social Media
+ Examples of IoT Devices and Collection Strategies
+ Recommendations for Addressing Collection Requirements
+ Resources for More Information
* MCLE Approved in Selected States
Presentation Leader: Doug Austin
Doug is the VP of Products and Professional Services for CloudNine. At CloudNine, Doug manages professional services consulting projects for CloudNine clients. Doug has over 25 years of experience providing legal technology consulting, technical project management and software development services to numerous commercial and government clients.
Special Consultant to CloudNine: Tom O'Connor
Tom O’Connor is a nationally known consultant, speaker, and writer in the field of computerized litigation support systems. Tom’s consulting experience is primarily in complex litigation matters.
We’ll discuss how to leverage some of the more advanced transformation capabilities available in both KSQL and Kafka Connect, including how to chain them together into powerful combinations for handling tasks such as data-masking, restructuring and aggregations. Using KSQL, you can deliver the streaming transformation capability easily and quickly.
This is part 3 of 3 in Streaming ETL - The New Data Integration series.
Becoming more competitive with big data today means having the right technology to uncover new insights from your data and make critical business decisions in real time. Qubole and Microsoft help companies activate their big data in the cloud to uncover insights that improve customer engagement, increase revenue, and lower costs.
Join experts from Qubole and Microsoft as they discuss how to activate your big data and how to get the most out of open source technologies on the cloud. In this webinar, you'll learn:
- How to modernize with data lakes and data warehouses on the cloud
- Strategies for boosting business value out of Machine Learning and advanced analytics with Qubole on Azure
- How to reduce costs, control risks, and improve data governance as you build your data pipelines
- The importance of data security and privacy
- Real world examples of successful companies activating their big data
Americas Global Black Belt, Data & AI at Microsoft
Nate Shea-han has been with Microsoft for 14 years and has spent the last 8 years focused on the helping Microsoft customers transform their business in the cloud on the Azure platform. Currently he has responsibilities across the United States, Canada and Latin America for Microsoft’s AI, big data, and analytics offerings. Nate has also worked extensively with Microsoft partner community.
Shaun Van Staden
Solutions Architect, Qubole
Shaun Van Staden has 19 years of experience in enterprise software managing advanced analytics projects, as a developer, DBA, business analyst and now a solutions architect. As a solutions architect manager, Shaun is responsible for supporting business development and sales at Qubole and helping customers transform their use cases for the cloud. Prior to Qubole, Shaun worked as a solutions architect at NICE Systems and Merced Systems (acquired by NICE).
To improve product availability and product quality within your physical and online retail stores, you need to understand what’s happening at each step in a product's journey up to the point of sale - this is your flow-of-goods.
In this webinar, retail analytics expert Simon Runc will demonstrate how to visually analyse your data at every point along the flow-of-goods, including your supply chain data and point of sale data, so you can make quicker and better product decisions in real-time.
Learn how to visually analyse your retail flow-of-goods data so you can...
*See in real-time what’s happening to your products
*Combine your supply chain data and point of sale data for greater insight
*Reduce stock-holding but improve on-shelf availability
*Take action before low stock availability becomes an issue
*Empower suppliers to act ahead of difficulties
As organisations are seizing the opportunity to become more agile and enable transformation by intelligently using data, the need to act to defend against being disrupted by market, business, and technology forces has never been greater. With data increasingly becoming a business asset, organisations are looking to more intelligently deliver Data Governance as a way to maximise the value of their data.
During this webinar Informatica will explore three fundamental requirements for Intelligent Data Governance:
•Collaboration around data, across an organisation
•Integration of organisational knowledge around data
•Automation of the discovery of data, across an organization
By combining these three requirements, plus more, Informatica will show how Intelligent Data Governance is rapidly changing the way organisations govern their most precious asset: their data.
На вебинаре мы рассмотрим новую СХД от Dell EMC – PowerMax, объявленную на Dell Technologies World. Основное внимание будет уделено архитектурным особенностям PowerMax и выгоде, которую они дают, основным отличиям от предыдущих моделей СХД, а так же рассмотрены текущие тренды в хранении данных. Вебинар проводится при поддержке компании Intel®
Explore the role of the IoT in the mining industry. From big industry to incubators and startups -- many organizations are engaging globally via innovative ecosystems, testbeds and tech hubs for education, awareness, and best practices.
To keep pace with today’s media and digital asset management workflows, you need a cost-effective secondary tier of storage (active archive) that provides instant accessibility and unrelenting data protection—while scaling to store petabytes of unstructured data and billions of files. Caringo Senior Consultant John Bell and Engineer Jose Juan Gonzalez will explain how object storage (using NoSQL, unstructured methods of search like Elasticsearch, and advanced metadata and content management capabilities) can be used to build this active archive and will illustrate use with a live demo of how Caringo Swarm integrates with leading industry tools such as the CatDV media asset management (MAM).
DeepStorage Labs is known in the storage industry for pushing equipment to its limits, and for reporting what really happens at the edge of a system’s performance. Tegile’s IntelliFlash T4000, unlike a few previous occupants of the DeepStorage Labs ThunderDome, stood up to our testing and delivered high IOPS at a maximum of 1MS latency.
DeepStorage subjected the InteliFlash T4000 workloads from the usual 4KB “hero number” random read to workloads that simulate OLTP and OLAP database servers, a file server and an Exchange server. We determined the systems performance individually and in combination finally determining the system’s ability to support the kind of mixed workload environment
In this webinar we will:
- Introduce the IntelliFlash array
- Describe the testing process
- Present the results
- Review the test environment
- Provide links to the test workload VDbench configurations
This webinar explains how Big Data in the context of IoT is going to impact Financial Services Organizations and what steps these incumbent organizations need to undertake for benefitting from this mega trend instead of getting drowned by it.
The key take-away from this webinar is that “As financial services companies embark on a journey to gain a better understanding of customers in order to provide effective and differentiated services, the amount of data is growing, IoT is multiplying this growth of data, and data structures are becoming more complex. Fintech Organizations need to develop technical capabilities to handle this Big Data and turn it to their advantage.”
About the speaker:
Tariq is a Fintech Expert, writer and thinker based in Toronto Canada and is currently working on an initiative to disrupt the conventional Insurance Industry with “Block chain and IOT applications to the insurance industry” for his startup.
Having the right processes run on the right platforms makes sense, but meeting this challenge can be harder than it seems. In many cases, these processes have been running on their current platforms for years and the team that set them up is no longer with the company. This type of situation leaves the IT department with big software maintenance costs and outdated infrastructure.
Join ASG and Destiny in this webinar as we share information and guidance to help IT managers modernize their legacy environment, including how to:
•Understand upstream/downstream application interactions
•Refactor to a modern toolset and architecture
•Surface “unseen” personal data that may impact compliance risk
•Leverage change analysis and application understanding into a foundation for regulatory compliance and ongoing application management
Legacy development approaches and tools simply aren’t architected to handle the enormous flow of real-time, event-driven, data streams generated by IoT devices, existing systems, and people.
In this session, learn how the revolution in event-driven application platforms enable innovative companies to develop, deploy and run real-time enterprise applications with dramatically reduced time-to-market, significantly lowered development and maintenance costs, and maximized agility in the face of requirements for continuous innovation and digital transformation.
There is a growing demand for high-speed analytic database systems and platforms where data can be processed at lightning speed for business decision-making. However, is that data up-to-date? If the process to update that data is batch or overnight, the data delivery may be fast, but the information may be outdated which can result in error-prone reporting and ineffective (or disastrous) business decisions.
For successful analytics it’s important to move data in real time from multiple systems, including legacy databases, so that combined data can be properly presented in a uniform way.
Change Data Capture is a technology employed in the best data replication solutions to minimize the amount of time and resources necessary to update data changes from one system to another. By propagating only what’s changed since the last check on the source system, minimal data is passed between systems in order to ensure identical copies of data on both source and target.
Change Data Capture is frequently used to select and update copies of key data for operational reasons such as maintaining activity on separate systems that interact externally with customers or vendors, or remote systems that interact with corporate databases. However, it is also useful to maintain freshly updated data in systems that are used extensively for non-transactional activity, such as for analysis, reporting and data warehousing.
1.Retrieving information from any source database for your analytic system
2.Specialized and configured support to load data into the analytic system
3.Automatically prepare and map the data between systems, saving time and resources
4.Best-in-class process to automatically and continuously update data
5.Change Data Capture saves time, money and effort through efficient and cost-effective technology
Data is everywhere! Growing exponentially in size, and complexity too. In this session, we look specifically at the ‘Holy Grail’ of Single Customer View, and at some of these techniques required to achieve that in your own data. But why is it exclusive to Customer Data? Isn’t product data is just as important to a Product manager as Customer Data is to a Marketer or Salesperson? Davinity explores the DQ techniques which can be applied to any type or kind of data to keep it clean and fit for purpose. And is there any difference in achieving such high Data Quality in a Big Data space over more traditional environment? Tune in to find out…
Big data technologies can be both complex and involve time consuming manual processes. Organizations that intelligently automate big data operations lower their costs, make their teams more productive, scale more efficiently, and reduce the risk of failure.
In our webinar, representatives from TiVo, creator of a digital recording platform for television content, will explain how they implemented a new big data and analytics platform that dynamically scales in response to changing demand. You’ll learn how the solution enables TiVo to easily orchestrate big data clusters using Amazon Elastic Cloud Compute (Amazon EC2) and Amazon EC2 Spot instances that read data from a data lake on Amazon Simple Storage Service (Amazon S3) and how this reduces the development cost and effort needed to support its network and advertiser users. TiVo will share lessons learned and best practices for quickly and affordably ingesting, processing, and making available for analysis terabytes of streaming and batch viewership data from millions of households.
Join our webinar to learn:
- How to dramatically reduce management complexities for big data analytics operations on AWS.
- Best practices for optimizing data lakes for self-service analytics that enable teams to productionize data science and accelerate data pipelines.
- About using Qubole’s auto-scaling to reduce the complexity and deployment time of big data projects.
- How to reduce the cost of big data workloads with Qubole’s automated Spot Instance Bidding and management.
In this Video Hassan provides an overview of Actian DataFlow and demonstrates it being used to extract data form Actian Zen, aggregating it and loading the transformed into Actian Vector for further analysis. DataFlow uses the KNIME GUI to create a drag-and-drop workflow that uses highly parallelized operations to read, analyze, transform and load data between databases and hadoop files very fast.
The EU GDPR, one of the most important changes to data privacy regulation in 20 years, takes effect May 25, 2018. IF you haven’t prepared yet – don’t worry, you aren’t alone! Less than 50% of all organizations impacted will fully comply, according to Gartner*.
Watch this very informative webcast to learn:
•How you may either own or process data relevant to the regulation
•Key requirements governing the overall regulation – why they are important and the operational impact on organizations
•Using a NIST focused framework to help you prepare for compliance
Whether you have a specific problem you are trying to solve or are just getting started, Forcepoint can help you stay prepared.
*GDPR Clarity: 19 Frequently Asked Questions Answered, by Bart Willemsen, 29 August 2017
We get recommendations everyday: Facebook recommends people we should connect with; Amazon recommends products we should buy; and Google Maps recommends routes to take. What all these recommendation systems have in common are data science and modern software development.
Recommendation systems are also valuable for companies in industries as diverse as retail, telecommunications, and energy. In a recent engagement, for example, Pivotal data scientists and developers worked with a large energy company to build a machine learning-based product recommendation system to deliver intelligent and targeted product recommendations to customers to increase revenue.
In this webinar, Pivotal data scientist Ambarish Joshi will take you step-by-step through the engagement, explaining how he and his Pivotal colleagues worked with the customer to collect and analyze data, develop predictive models, and operationalize the resulting insights and surface them via APIs to customer-facing applications. In addition, you will learn how to:
- Apply agile practices to data science and analytics.
- Use test-driven development for feature engineering, model scoring, and validating scripts.
- Automate data science pipelines using pyspark scripts to generate recommendations.
- Apply a microservices-based architecture to integrate product recommendations into mobile applications and call center systems.
The nature of enterprise data is rapidly changing and existing storage infrastructures can’t keep up. Network Attached Storage (NAS) devices were designed for performance and single-site collaboration but file creation and access is different now. Many turn to the cloud to offload data, however, for rapidly scaling data sets, daily transfer rates and bandwidth constraints are an issue. In addition, some sensitive information can’t leave your data center. Komprise and Caringo have partnered to solve these issues by pairing intelligent data management technology with hassle-free, limitless storage.
Attend this webinar to learn how you can slash TCO for rapidly scaling data sets by identifying data to move from NAS. Then securely transferring it based on value to Caringo Swarm scale-out object storage were it is protected without backups and instantly and securely available internally or externally.
As enterprises transition their Business Intelligence and Analytics environments to Machine Learning and Artificial Intelligence driven ecosystems, their core data infrastructure has to scale. Focusing only on the compute layers, creates a highly inefficient infrastructure. Vexata with its VX-OS version 3.5 release brings to market transformative economics and breakthrough performance to power these next-generation workloads at scale.e.
You will learn about:
• How to scale core data infrastructures for the transition to Machine Learning and Artificial Intelligence workloads
• What are the key considerations before creating an AI/ML-centric storage infrastructure
• How Vexata's new VX-OS version 3.5 release addresses these challenges
Providence Health Plan has grown organically over the last 30+ years. With the adoption of the Affordable Care Act as well as growth in other lines of business, the organization was at a crossroad. As new applications and vendors were introduced into the ecosystem to respond to the business’s need, system complexity had increased substantially. The result was a data management challenge that would limit ongoing business success if it remained unsolved.
Join Jaydeep Ghosh, Director of Data Services at Providence Health Plan, and Monica Mullen, Principal Solutions Marketing Manager at Informatica, as they discuss the enterprise data roadmap that the organization put together to address the current state, position the health plan for future growth, and address these top challenges:
• Time to business value
• Multiple, but incomplete, versions of the truth
• Overall lack of trust in data
Wael Elrifai shares his experience working in the IoT and AI space; covering complexities, pitfalls, and opportunities to explain why innovation isn’t just good for business—it’s a societal imperative.
Abstract: H2O Driverless AI empowers data scientists or data analysts to work on projects faster and more efficiently by using automation and state-of-the-art computing power to accomplish tasks that can take humans months in just minutes or hours by delivering automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time-series, automatic report generation and automatic pipeline generation for model scoring.
Arno Candel is the Chief Technology Officer at H2O.ai. He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators.
Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.
Self-Service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy.
Attend this session to learn why data virtualization:
* Is a must for implementing the right self-service BI
* Makes self-service BI useful for every business user
* Accelerates any self-service BI initiative
Today’s ultra low-power sensors and wireless modules not only allow batteries to last longer but also make completely self-sustaining IoT devices possible. This webinar will overview energy harvesting methods including photovoltaic, piezoelectric, thermoelectric, and RF with a focus on indoor ambient light collection.
Practical applications and how to integrate solar energy harvesters into electronics will also be discussed. An indoor solar-powered Bluetooth sensor will be analyzed as a use case example.
Internet of Things (IoTs) and its industrial application – Industrial Internet of Things (IIoTs) are a topic of interest in all industrial sectors. Oil and gas industry remains one of those industries that can benefit significantly from the use of IIoTs, due to the complexity of operations, high-risk profile, highly regulated environment, and dynamic global environmental challenges. In this talk, I will discuss the three C’s –Current state of maturity of oil and gas industry in terms of leveraging benefits of IIoTs, the Challenges in implementation and insights generation from IIoTs, and Conduit of the framework needed to maximize the impact of IIoTs. The framework incorporates the Big Data analytics, Platform and Transformation culture to maximize the value of IIoTs. Cybersecurity becomes and the invariable topic of concern, rightly so, and is addressed in the framework. Voice of the OilfieldTM incorporates many of these concepts and applications to create value during the production phase of the oil well life cycle.
In order to accelerate innovation and learning, the data science team at Uber is looking to optimize Driver, Rider, Eater, Restaurant and Courier experience through reinforcement learning methods.
The team has implemented bandits methods of optimization which learn iteratively and rapidly from a continuous evaluation of related metric performance. Recently, we completed an AI-powered experiment using bandits techniques for content optimization to improve the customer engagement. The technique helped improve customer experience compared to any classic hypothesis testing methods.
In this session, we will explain various use cases at Uber that this technique has proven its value and how bandits have helped optimize and improve customer experience and engagement at Uber.
Enterprises are a complex ecosystem where multiple business entities interact in highly non-linear and iterative fashion often resulting in operational chaos. Human stakeholders tend to make decisions based on intuition and limited perspective. AI and machine learning algorithms can augment these decision-making processes by removing guess-work to a large extent. This enables reduction of cognitive bias that may exist. Enterprise AI is a convergence of business context, design & human factors, technology and data science. The talk will give an insight into what type of challenges exist in an enterprise and how a data-driven AI solution can help augment the theory-based models to improve the overall operational efficiency.
After months, and years, of talking about it, the 25th May 2018 has come and gone meaning the EU General Data Protection Regulation (GDPR) is now in force. But what does that mean for organisations around the world? They are now faced with having to adjust their business practices to ensure compliance to the legislation given to data subjects – yet in seems that no one is ready or many have underestimated the extent of the organisational changes that lies ahead. We have already seen many news websites be taken offline for European audiences under the GDPR rules and the big player of Facebook and Google already accused of breaching the framework. It is only a matter of time before EU data subjects begin to fully exercise their rights, such as Subject Access Requests (SAR). How could you cope with the pressure of responding to these requests?
There Is a silver lining. In this webinar, we review some practical steps that your business can take to address GDPR concerns, specifically when dealing with data subject requests.
•Explore practical steps that businesses can take to address their GDPR data requirements.
•Discuss the ability to act post-GDPR, where it is never too late to begin building your infrastructure
•Outline ways to improve costs and man power to address business GDPR issues, such as responding and producing subject access requests.
Webinar about Dell Wyse Management Suite for Wyse Thin clients (Thin OS and Windows Embedded). Our Dell experts will show you our main features and how a simple, effective and intuitive manamgement solution WMS is.
Analytics, machine learning, and artificial intelligence will have a bigger impact on your business strategy. None will be effective without the right data. Therefore when defining your business strategy, it must be aligned with your data strategy.
This webinar will help your organization find that right combination by demonstrating how:
• Organizations are aligning data to business strategy
• New collaboration models accelerate data activation and outcomes
• Augmenting data management processes with Agile Process scales and accelerates data capabilities
• Harnessing enterprise tribes overcomes resistance and shadow IT for data
Join this technical webinar to learn about Informatica Enterprise Data Catalog, our intelligent data catalog that helps you maximize the value and re-use of data assets across the enterprise. Whether you want to empower your business users with self-service analytics, deliver a holistic view of your metadata and lineage, or support the launch of a data governance initiative, data catalogs are essential to the success of these data-driven initiatives. Informatica Enterprise Data Catalog enables business and IT users to unleash the full power of their data across cloud, on-premises, and big data, anywhere.
See in-depth discussion of the new features and a demo of Enterprise Data Catalog 10.2.1, which includes expanded connectivity to new data sources, improved AI capabilities, wiki-like editing to enrich data asset information, and much more.
Gaurav Pathak, Director Product Management, Enterprise Data Catalog
Deepa Sankar, Director Product Marketing, Enterprise Data Catalog & Data Integration
Cognitive systems solve problems the way humans solve problems, by thinking, understanding, reasoning, reacting and interacting. Through simulation of human thought processes, the goal of cognitive computing is to create automated IT systems that are capable of solving problems without requiring human assistance.
This webinar will explore the application of cognitive computing techniques within the energy sector: increasing the accuracy of outage predictions, optimizing uptime, and enabling customers to monitor and control their monthly energy consumption.
What is the cost to your business if you continue using spreadsheets or disparate reports and data sources? How many times have you waited for answers from the analytics queue, only for it to be too late to take action that impacts the business? We're going to show you a platform today that can bring your data and organization together that can give you those insights at the speed of business in a governed and secure way.
What you'll learn:
•The typical path marketing leaders take to solving the data and insights problem
•Best practices for getting to insights and business outcomes at the speed of your business
•The three stages of readiness: which stage is your business in today?
Get the rundown of different audiences for the CMDB and how to achieve each of their objectives through out-of-the-box products.
Plus, Find out...
- Why CMDB should be your ServiceNow foundation
- What's the roadmap to success
- Conventional and specialized uses, including services and dashboards
- Real-world examples of companies transforming today
The modern, data-rich enterprise demands access to data at a pace that has outclassed traditional data management platforms. Whether they are utilizing a cloud, hybrid, or on-prem solution, these organizations require capabilities that are vendor-neutral and often implemented with microservices to ensure an agile environment at scale.
In this webinar, Scott Gidley, Zaloni’s Vice President of Product, will showcase the latest version of the Zaloni Data Platform. This version provides exciting new features to address the growing demands of data-driven companies, including:
- Managing hybrid and multi-cloud environments
- Managing your data with zones
- Cloud-native support
- Ingestion wizard
- Platform global search
- Persona-driven homepage
Join Esther Spanjer, Director of Business Development EMEIA at Western Digital, Michel Portelli, Senior Director EMEA Marketing at DataCore Software and Paolo Marco Salvatore, Chief Technology Officer at Sinthera for this webinar. They will discuss a storage solution based on Western Digital’s NVMe™ SSDs, and JBOD/JBOF enterprise storage solutions and DataCore SANsymphony software that was implemented at a customer from Sinthera, a system integrator focused on software-defined data center and cloud-oriented solutions. They will discuss the separate components that comprised the solution and will offer insights into how this solution provided better TCO and performance over the customer’s existing solution
Join this webinar to find out how organisations are increasingly gaining a competitive advantage through the adoption of a Single Customer View across their business with Salesforce,
A Single Customer View in Salesforce is helping organisations to:
• More successfully understand and engage customers
• Drive new business opportunities
• Streamline and improve processes
• Help support compliance regulations such as General Data Protection Regulation (GDPR)
Your customer is central to your business success and Salesforce helps you to track your customers and prospects through data from multiple paths, giving you the perfect platform for a Single Customer View. Join this webinar to find out how to achieve a Single Customer View in Salesforce.
In this webinar Miranda Pocock, CTO at Cloud Perspective and Aaron Machej, Master Data Management Specialist at Informatica will:
• Show you what a Single Customer View in Salesforce looks like and how you can achieve this across your organisation through a live demo
• Draw data from multiple sources and show you how to deliver reliable data to the market leading systems such as Marketing Cloud, Analytics tools such as Tableau and Salesforce Einstein Wave
• Demonstrate how a Single Customer View can help eradicate problems such as: Inaccurate reporting, duplicate accounts, contacts and leads, non-standardisation of data and non-verified data
• Explain how you can deliver from all enterprise applications at the press of a button, the right to be informed, the right to be forgotten, the right to data portability, the right for access, the right for rectification and a total Customer View with a process to propagate consents.
Register now to find out how you can derive increased value from your Salesforce implementation through creating a single trusted view of business critical information and customer knowledge in Salesforce.