While smart infrastructure decisions are vital to application software companies, the most important aspect of intellectual property IP sits in the product capabilities expressed at the application feature and function level. The application layer is most likely where your company will realize its greatest IP value. Behind the scenes, the process to build the MVP is usually driven by a set of market requirements that are almost always closely tied to substantive feedback by different types of potential users. In simpler terms, the product development focus must have a good grasp on what the customer wants and align that to the features within the software solution. That said, after going to market and maturing beyond the MVP stage, most software teams will need to start paying attention to the infrastructure capability, which generally sits behind the scenes and will touch the areas of: security, scalability, microservices, and integration, just to name a few.
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While smart infrastructure decisions are vital to application software companies, the most important aspect of intellectual property IP sits in the product capabilities expressed at the application feature and function level. The application layer is most likely where your company will realize its greatest IP value. Behind the scenes, the process to build the MVP is usually driven by a set of market requirements that are almost always closely tied to substantive feedback by different types of potential users.
In simpler terms, the product development focus must have a good grasp on what the customer wants and align that to the features within the software solution. That said, after going to market and maturing beyond the MVP stage, most software teams will need to start paying attention to the infrastructure capability, which generally sits behind the scenes and will touch the areas of: security, scalability, microservices, and integration, just to name a few. Most startups face the difficult decision of how much and where to invest infrastructure capability.
They must choose between building it in-house organic and using an OEM solution as a deeply embedded option. As you can see from the above chart, embedding your application will give you a much higher market value because you will get your application to market faster. You will also experience less technology risk that might accrue if the product landscape you are working in shifts. Customers matter. And thus whatever an organization can do to make smarter customer decisions faster will surely drive a better customer experience.
Easier said than done in a dynamic business such as mortgage fulfillment services where time is of the essence and the data points involved are immense. This is where adopting a flexible BI platform can come in handy. And this is exactly what Promontory MortgagePath did to help its lender customers make more timely and accurate credit decisions for their end customers. Promontory MortgagePath provides mortgage fulfillment services for third party lenders. Driven by innovative technology and a customer-first ethos, their goal was to reduce the cost and the time its customers required to originate a new mortgage.
And to help its customers make more profitable loans, data-driven insights on crucial credit decisions along with regulatory compliance, were also a must. As a result, Promontory MortgagePath was able to bring over 5, pieces of data together from disparate sources, analyze it, and display it in an easy-to-understand way. Additionally, the delivery of the information to its lenders and their customers was 83 percent faster than before.
Both of these actions led to a more efficient lending process and far higher customer satisfaction. Promontory MortgagePath also saw a number of benefits from adopting a more flexible platform, including:. Listen now: Spotify Soundcloud Apple Podcasts. The doctors will see you now! Vishakha discusses Spotfire use at Gilead, both on how her drug safety team uses Spotfire for pharmacovigilance, and also how Gilead uses TIBCO Spotfire across multiple groups and use cases within the company.
Vishkaha and Neil also share how to manage Spotfire in your organization, as well as several tips for getting started with Spotfire. In this episode, Saurabh shares his view of the current state of the integration market, what patterns he sees with his clients, and where they typically hit hurdles along with their integration projects. You can learn what CIOs struggle with today, and what you need to implement in order to be successful tomorrow.
Interested in integration? Need to know which users should leverage the different capabilities of TCI? To learn how customers are using TCI be sure to check out our recent success story with Stack Sports. In , TIBCO announced a strategic partnership with IHS Markit to enhance energy exploration and production workflows by offering better visualization and integrated analytical tools. As we know, with the start of a new year comes a slew of fresh data and analytics trends that businesses can apply to boost customer intimacy, operational excellence, and business reinvention.
Augmented analytics automates finding and surfacing the most important insights or changes in the business to optimize decision making, in a fraction of the time. It makes insights available to all business roles; however, it does require increased data literacy across the organization. This year, augmented analytics will be the driver of analytics and business intelligence purchases in addition to data science and machine learning platforms.
Read this eBook to learn about the different types of augmented analytics and when to apply each. Organizations are continually on the hunt to automate data management tasks by adding machine learning ML and artificial intelligence AI capabilities to make the process self-configuring and self-tuning. This enables highly-skilled technical staff to focus on higher-value tasks. All enterprise data management categories are affected, including data quality, metadata, master data, and more.
Tune into this webinar to learn how you can unify all of your different data types. NLP gives businesses an easier way to ask questions about data and receive an explanation of the insights. Conversational analytics takes the concept of NLP a step further by enabling questions to be asked and answered verbally. By next year, NLP and conversational analytics will boost analytics adoption by employees to over 50 percent.
Empower business users to self-serve insights though simple, real language requests. With the growth of structured and unstructured data, analyzing it at scale is not possible using traditional query tools. Graph analytics is a set of analytic techniques that show how entities such as people, places, and things are related to one another. The application of graph processing and graph databases are predicted to grow at percent annually over the next few years to accelerate data preparation and enable more complex and adaptive data science.
Leverage the power of relationships to solve connectivity problems at scale. Open-source platforms for AI and ML have been the primary source of innovation in algorithms and development environments. While commercial vendors were slow to respond, they now provide connectors, offering enterprise features necessary to scale AI and ML, such as project and model management, reuse, transparency, and integration. Watch this webinar to learn how you can drive digital transformation with AI and ML.
In order to derive the most value from your analytics, you need to have an agile and trusted data fabric, a custom-made design that provides reusable data services, pipelines, semantic tiers, or APIs via a combination of data integration. This enables frictionless access and sharing of data in a distributed environment.
Learn how you can provide an agile data infrastructure that unifies your data with a data fabric solution. With explainable AI, you can increase the transparency and trustworthiness of AI solutions and outcomes, and reduce regulatory and reputational risk. It is the set of capabilities that describe a model while highlighting its strengths and weaknesses, predicts its likely behavior, and identifies any potential bias.
Accelerate your analytics journey with the application of explainable AI. Blockchain technologies help address two challenges: lineage of assets and transactions, and transparency for complex networks of participants. Untap the potential of blockchain technology to make your business truly digital. Organizations have sought out real-time intelligence. Now, they are finally able to implement these systems using continuous intelligence. Cloud, advances in streaming software, and the explosive growth of data from Internet of Things IoT sensors makes this possible.
It is projected that by , more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions. Watch this webinar to learn how you can implement continuous intelligence in your organization. Persistent memory technology will help businesses extract more actionable insights from data. Right now, most database management systems DBMS make use of in-memory database structures.
However, with data volumes growing rapidly, memory size can be restrictive. To keep up, they need faster performance, massive memory, and faster storage. Many DBMS providers are experimenting with persistent memory, though it may take several years to perfect. Avoid exhausting available memory in your servers with these best practices. So what are you waiting for? Apply these trends to your business today to continue to tap the power of your data to innovate, collaborate, and grow.
With customers asking for more digital interactions and because Skipton invests in itself for the long-term benefit of its members, it chose to work towards satisfying those changing needs. To help the company increase agility, adapt to market changes, and build unique new products to boost its customer base, Skipton implemented an API and integration platform with TIBCO. For Skipton, this implementation resulted in 10 percent customer growth in less than six months, which was two years ahead of schedule.
Now, the company has the infrastructure in place to provide the first retirement fund of its kind in the U. The company also saw a number of benefits rooted in their newfound connectivity. Skipton was also able to develop innovative new products, such as a mobile app, allowing customers to view their LISAs similar to an IRA from their phones.
Thanks to a robust API-led integration strategy, Skipton Building Society was able to develop its digital platform and respond to market opportunities, creating closer customer intimacy to gain new ones and retain current ones. By giving them the tools they need, like Skipton, your company can make happier, more devoted customers.
The office also gave an individual donation to the NSW Rural Fire Service, to offer them financial assistance and support towards their phenomenal work in fighting the fires and keeping the residents of NSW safe. If you would like to continue to support the impacted communities, monetary donations can be made:. We hope that you, like us, will continue to support this magnificent country on its road to recovery.
Asking questions is one of the best ways to learn. Outliers are observations that are distant from the mean or location of a distribution. On the other hand, anomalies are data patterns that are generated by different processes. There are many applications of anomaly detection in the pharmaceutical life sciences space. Timely anomaly detection is critical to avoid abnormal events and adhere to safety standards. Identifying anomalies in over-the-counter transactions can be used to fight prescription abuse in pharma retail data.
And real-time detection of anomalies in multi-parameter clinical trial data helps ensure the success of clinical trials. Generative Adversarial Networks GANs are novel unsupervised learning methods that are very efficient in identifying anomalies. Since GANs are iterative by design and the adversarial training is optimized to leverage reconstructed samples to reduce residual loss, they work well in semi-structured and unstructured data.
They are specifically very useful for medical image analysis helping radiologists find hard-to-identify tumors , facial recognition, text to image translation, etc. As mentioned in the webinar, we do not think that correlations would affect anomaly detection, but we have many techniques available to help determine how to treat correlated variables. As mentioned in the webinar, there are many methods and algorithms that work well for various applications and use cases of anomaly detection.
For univariate quality control charts, Western Electric rules are used to detect a handful of common patterns. Classic multivariate methods such as Partial Least Squares PLS will capture patterns involving more than one variable that would not be detected by univariate methods. Autoencoder is the most comprehensive tool that will cover the widest range of different patterns. It can capture patterns that are multivariate, cyclical, nonlinear, and have interactions.
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MMA brings together leaders and learners in events specifically for mobile. Telkomsel is the leading cellular operator in Indonesia who serves more than million customers across the country. This lead to the establishment of Telkomsel Digital Advertising Digiads unit in with digital advertising as the business focus. Telkomsel Digiads itself has become a platform for brands or business owner to promote their products and services to all Telkomsel subscribers in Indonesia. We are working every day with brands and business owners to optimize how their ads and campaign delivered to their customers based on data and daily behaviour of Telkomsel subscribers through their devices. With our leading innovation in digital, we can help brands reach new users and wider potential markets to increase sales, traffic, up to the brand awareness, and more.
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My name is Chris, and I will be your operator for today's call. I would like to turn the call over to Nicole Noutsios, Investor Relations. Nicole, you may begin. Thank you, Chris. Before I begin, I'd like to point out that in addition to the audio portion of the webcast, we have also provided slides to this webcast, which you can see by going on our webcast on our IR website. During this call, we will provide projections and other forward-looking statements regarding future events or future financial performance of the company. Such statements are only current expectations, and actual events or results may differ materially. We refer You to documents Harmonic files with the SEC, including our most recent Q and K reports and the forward-looking statements section of today's preliminary results press release. These documents identify important risk factors which can cause actual results to differ materially from those contained in our projections or forward-looking statements. And please note that unless otherwise indicated, the financial metrics we provide you on this call are determined on a non-GAAP basis.
Harmonic Inc (HLIT) Q3 2019 Earnings Call Transcript
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