Tag: Analytics | SpinSafe

A Deep Dive into Wi-Fi Analytics

August 6, 2023/in Internet Security

Exploring the Future of Telecommunications: A Comprehensive Analysis of Wi-Fi Analytics

The future of telecommunications is a fascinating topic that is constantly evolving, with Wi-Fi analytics playing a pivotal role in shaping this landscape. As we delve deeper into the realm of Wi-Fi analytics, we uncover a world of possibilities that could revolutionize the way we communicate and interact with technology.

Wi-Fi analytics, at its core, is the process of collecting, analyzing, and interpreting data from Wi-Fi networks. This data can provide valuable insights into user behavior, network performance, and other critical aspects of a Wi-Fi network. With the advent of advanced technologies such as artificial intelligence and machine learning, the potential of Wi-Fi analytics has expanded exponentially.

One of the most significant developments in Wi-Fi analytics is the ability to track user behavior. By analyzing data from Wi-Fi networks, businesses can gain a deeper understanding of their customers’ habits and preferences. This information can be used to tailor services and products to meet customer needs more effectively, thereby enhancing customer satisfaction and loyalty.

Moreover, Wi-Fi analytics can also be used to optimize network performance. By analyzing data on network usage, businesses can identify bottlenecks and other issues that may be affecting the performance of their Wi-Fi networks. This can lead to more efficient network management and improved user experience.

In addition, Wi-Fi analytics can play a crucial role in enhancing security. By monitoring network activity, businesses can detect unusual patterns that may indicate a security breach. This can enable them to take proactive measures to protect their networks and data, thereby reducing the risk of cyber-attacks.

However, the potential of Wi-Fi analytics extends beyond these applications. With the advent of the Internet of Things (IoT), Wi-Fi analytics can play a crucial role in managing and optimizing the performance of IoT devices. By analyzing data from these devices, businesses can gain insights into their operation and usage, which can be used to enhance their functionality and efficiency.

Furthermore,…

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Privacy-preserving Analytics: The Future of Data Security is Now

August 23, 2022/in Mobile Security

When Mark Campbell, the chief innovation officer at EVOTEK, asked me to discuss an article he was writing on the quest for mainstream adoption of privacy-preserving analytics, I was thrilled. Privacy-preserving analytics has been a relevant topic for Baffle since 2019 when we were named a Gartner “Cool Vendor.” Three years ago, our mandate was this: Encrypt data in enterprise workflows without disrupting application operation. We make the process to protect sensitive data at the record level, with row or column granularity, without impacting performance and allow comprehensive monitoring of that sensitive data.

We were ahead of the curve.

In his article, recently published in the IEEE Computer Society, Mark discusses the demand for protecting data in use and includes important predictions from Gartner: “By 2025, at least 20% of companies will have a budget for projects that include fully homomorphic encryption, up from less than 1% today, and 60% of large organizations will use one or more privacy-enhancing computation techniques in analytics, business intelligence, or cloud computing.”

Mark recognizes Baffle as one of the select few companies making privacy-preserving analytics a common architectural feature in applications and services. In fact, we are joining forces with the likes of IBM and Microsoft to provide readily-consumable products and services to keep pace with growing data-in-use protection demands.

Baffle currently protects more than 100 billion records for customers in financial services, healthcare, retail, industrial IoT and government, running at scale. And we do so without any perceivable impact on application performance or user experience. Our underlying techniques add only a small percentage to the performance profile and allow databases, data warehouses, ingest pipelines and visualization tools to operate in a “plaintext-free” environment. We view this as a significant change in the data pipeline architecture, with security built in, rather than a security solution that is bolted on. Companies continue to move their data to the cloud, where the data analysis occurs. As such, data is more valuable and more mobile, making its protection a…

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AWS Announces General Availability of Three New Serverless Analytics Offerings

July 12, 2022/in Mobile Security

New serverless options for Amazon EMR, Amazon MSK, and Amazon Redshift help customers analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure

Informatica, NextGen Healthcare, and Huron among customers and partners using new serverless analytics options

SEATTLE–(BUSINESS WIRE)–Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the general availability of three new serverless analytics offerings that make it even easier for customers to analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure. Today’s announcements include new serverless offerings for Amazon EMR to enable customers to run analytics applications using open-source big data frameworks (Apache Spark and Hive) without having to manage the underlying infrastructure, Amazon Managed Streaming for Apache Kafka (Amazon MSK) to simplify real-time data ingestion and streaming, and Amazon Redshift to allow customers to run high-performance data warehousing and analytics workloads on petabytes of data without having to manage clusters. Along with other serverless analytics offerings from AWS such as Amazon QuickSight for business intelligence and AWS Glue for data integration, the new offerings announced today make it significantly easier and more cost-effective for customers to modernize their infrastructure and analyze vast amounts of data without worrying about capacity planning or incurring excess costs by over-provisioning for peak demand. There are no upfront commitments or additional costs to use Amazon EMR Serverless, Amazon MSK Serverless, and Amazon Redshift Serverless, and customers only pay for the precise capacity needed for their analytics workloads.

“By offering the most serverless options for data analytics in the cloud—including options for data warehousing, big data processing, real-time data analysis, data integration, interactive dashboards and visualizations, and more—we are making it even easier for customers to maximize the value of their data to drive innovation, improve customer experiences, and make better decisions faster,” said Swami…

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