What impact are data analytics having on security

| February 26, 2020

article image
Data analytics are bringing big data to security and changing the way we look at security solutions. In video surveillance, analytics have opened a wide host of applications that customers can use to gather valuable business insights from video data. This not only increases the complexity of the customer solution but brings together stakeholders from departments previously remote in the security design decision. In 2020, a customer-centric design process will be crucial to understand a customer’s business beyond the security or IT department. Keep an open mind while exploring the potential of each new technology and tailor your security design solutions into a catalyst for your customer’s success. Always remember that with big data comes big responsibility.

Spotlight

Vitria Technology, Inc

Innovative, leaner and customer driven organizations are realizing the advantages of digital operations. Digital operations transforms how companies produce, deliver and support goods and services. VIA by Vitria is an analytics solution which accelerates your journey to digital operations excellence.

OTHER ARTICLES

Bringing big data science to Africa

Article | March 24, 2020

Africa is set to establish its first big data hub, boosting knowledge sharing and information extraction from complex data sets.The hub will enable the continent to access and analyse timely data relating to the Sustainable Development Goals for evidence based decision making, says Oliver Chinganya, director of the Africa Statistics Centre at the United Nations Economic Commission for Africa (UNECA).According to a study, big data is impacting positively in almost every sphere of life, such as in health, aviation, banking, military intelligence and space science.

Read More

Is Augmented Analytics the Future of Big Data Analytics?

Article | March 24, 2020

We currently live in the age of data. It’s not just any kind of data, but big data. The current data sets have become huge, complicated, and quick, making it difficult for traditional business intelligence (BI) solutions to handle. These dated BI solutions are either unable to get the data, deal with the data, or understand the data. It is vital to handle the data aptly since data is everywhere and is being produced constantly. Your organization needs to discover any hidden insights in your datasets. Going through all the data will be doable with the right tools like machine learning (ML) and augmented analytics. According to Gartner, augmented analytics is the future of data analytics and defines it as: “Augmented analytics uses machine learning/artificial intelligence (ML/AI) techniques to automate data preparation, insight discovery, and sharing. It also automates data science and ML model development, management, and deployment.” Augmented analytics is different from BI tools because ML technologies work behind the scenes continuously to learn and enhance results. Augmented analytics facilitates this process faster to derive insights from large amounts of structured and unstructured data to gain ML-based recommendations. In addition, it helps to find patterns in the data that usually go unnoticed, removes human bias, and allows predictive capabilities to inform an organization of what to do next. Artificial intelligence has brought about an augmented analytics trend, and there has been a significant increase in the demand for augmented analytics. Benefits of Augmented Analytics Organizations now understand the benefits of augmented analytics which has led them to adopt it to deal with the increasing volume of structured and unstructured data. Oracle identified top four reasons organizations are opting for augmented analytics: Data Democratization Augmented data science availability to everyone has become a possibility thanks to augmented analytics. Augmented analytics solutions come prebuilt with models and algorithms, so data scientists are not needed to do this work. In addition, these augmented analytics models have user-friendly interfaces, making it easier for business users and executives to use them. Quicker Decision-making You will receive suggestions and recommendations through augmented analytics about which datasets to incorporate in analyses, alert users with dataset upgrades, and recommend new datasets when the results are not what the users expect. With just one click, augmented analytics provides precise forecasts and predictions on historical data. Programmed Recommendations Natural language processing (NLP) is featured on the augmented analytics platforms enabling non-technical users to question the source data easily. Interpreting the complex data into text with intelligent recommendations is automated by natural language generation (NLG), thus speeding up the analytic insights. Anyone using the tools can find out hidden patterns and predict trends to optimize the time it takes to go from data to insights to decisions using automated recommendations for data improvement and visualization. Non-expert users can use NLP technology to make sense of large amounts of data. Users can ask doubts about data using typical business terms. The software will find and question the correct data, making the results easy to digest using visualization tools or natural language output. Grow into a Data-driven Company It is more significant to understand data and business while organizations are rapidly adjusting to changes. Analytics has become more critical to doing everything from understanding sales trends, to segment customers, based on their online behaviors, and predicting how much inventory to hold to strategizing marketing campaigns. Analytics is what makes data a valuable asset. Essential Capabilities of Augmented Analytics Augmented analytics reduces the repetitive processes data analysts need to do every time they work with new datasets. It helps to decrease the time it takes to clean data through the ETL process. Augmented analytics allows more time to think about the data implications, discover patterns, auto-generated code, create visualizations, and propose recommendations from the insights it derives. Augmented analytics considers intents and behaviors and turns them into contextual insights. It presents new directions to look at data and identify patterns and insights companies would have otherwise missed out on completely- thus altering the way analytics is used. The ability to highlight the most relevant hidden insights is a powerful capability. Augmented analytics, for example, can help users manage the context at the explanatory process stage. It understands the values of data that are associated with or unrelated to that context, which results in powerful and relevant suggestions that are context-aware. Modern self-service BI tools have a friendly user interface that enables business users with low to no technical skills to derive insights from data in real-time. In addition, these tools can easily handle large datasets from various sources in a quickly and competently. The insights from augmented analytics tools can tell you what, why, and how something happened. In addition, it can reveal important insights, recommendations, and relationships between data points in real-time and present it to the user in the form of reports in conversational language. Users can have data queries to get insights through the augmented analytics tools. For example, business users can ask, “How was the company’s performance last year?” or “What was the most profitable quarter of the year?” The systems provide in-depth explanations and recommendations around data insights, clearly understanding the “what” and the “why” of the data. It enhances efficiency, decision-making, and collaboration between users and encourages data literacy and data democracy throughout an organization. Augmented Analytics: What’s Next? Augmented analytics is going to change the way people understand and examine data. It has become a necessity for businesses to survive. It will simplify and speed up the augmented data preparation, cleansing, and standardization of data, thus assist businesses to focus all their efforts on data analysis. BI and analytics will become an immersive environment with integrations allowing users to interact with their data. New insights and data will be easier to access through various devices and interfaces like mobile phones, virtual assistants, or chatbots. In addition, it will help decision-making by notifying the users of alerts that need immediate attention. This will help businesses to stay updated about any changes happening in real-time. Frequently Asked Questions What are the benefits of augmented analytics? Augmented analytics helps companies become more agile, gain access to analytics, helps users make better, faster, and data-driven decisions, and reduces costs. How important is augmented analytics? Augmented analytics build efficiency into the data analysis process, equips businesses and people with tools that can answer data-based questions within seconds, and assist companies in getting ahead of their competitors. What are the examples of augmented analytics? Augmented analytics can help retain existing customers, capitalize on customer needs, drive revenue through optimized pricing, and optimize operations in the healthcare sector for better patient outcomes. These are some of the examples of the use of augmented analytics. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the benefits of augmented analytics?", "acceptedAnswer": { "@type": "Answer", "text": "Augmented analytics helps companies become more agile, gain access to analytics, helps users make better, faster, and data-driven decisions, and reduces costs." } },{ "@type": "Question", "name": "How important is augmented analytics?", "acceptedAnswer": { "@type": "Answer", "text": "Augmented analytics build efficiency into the data analysis process, equips businesses and people with tools that can answer data-based questions within seconds, and assist companies in getting ahead of their competitors." } },{ "@type": "Question", "name": "What are the examples of augmented analytics?", "acceptedAnswer": { "@type": "Answer", "text": "Augmented analytics can help retain existing customers, capitalize on customer needs, drive revenue through optimized pricing, and optimize operations in the healthcare sector for better patient outcomes. These are some of the examples of the use of augmented analytics." } }] }

Read More

HEALTHCARE CENTERS ARE TURNING TO AI TO COMBAT COVID-19

Article | March 24, 2020

Artificial Intelligence has emerged as a powerful tool in the time to fight against Covid-19. The technology is used to train computers to leverage big data-enabled models for pattern recognition, interpretation, and prediction using Machine Learning, NLP and Computer Vision. These applications can be effective to diagnose, envision, and treat Covid-19 disease, and they can also assist in managing socio-economic impacts. Since the pandemic spreads quickly, there has been a rush to explore and deploy AI to cure and address the soaring demand of patient treatment infected by Coronavirus.

Read More

Time Machine Big Data of the Past for the Future of Europe

Article | March 24, 2020

Emerging technology has the power to transform history and cultural heritage into a living resource. The Time Machine project will digitise archives from museums and libraries, using Artificial Intelligence and Big Data mining, to offer richer interpretations of our past. An inclusive European identity benefits from a deep engagement with the region’s past. The Time Machine project set out to offer this by exploiting already freely accessible Big Data sources. EU support for a preparatory action enabled the development of a decade-long roadmap for the large-scale digitisation of kilometres of archives, from large museum and library collections, into a distributed information system. Artificial Intelligence (AI) will play a key role at each step, from digitisation planning to document interpretation and fact-checking. Once embedded, this infrastructure could create new business and employment opportunities across a range of sectors including ICT, the creative industries and tourism.

Read More

Spotlight

Vitria Technology, Inc

Innovative, leaner and customer driven organizations are realizing the advantages of digital operations. Digital operations transforms how companies produce, deliver and support goods and services. VIA by Vitria is an analytics solution which accelerates your journey to digital operations excellence.

Events