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IoT Security: What Kind of Data Is Compromised by Poorly Protected IoT Devices?

Smart Data Collective

Your Location A lot of IoT devices request and remember your location data — including fitness trackers, security systems, smartphones, health monitors, and even smart thermostats. Wearable health monitors can tell them when your next medical appointment is. They might even use baby monitors to communicate with children.

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Fleet Management and Big Data: Points to Consider

Smart Data Collective

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025. This growth means that you should prepare to handle even larger internal and external data soon.

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Finance Data Warehouse for Reporting and Analytics

Astera

A centralized repository of accurate, complete, and timely data allows financial institutions to gather actionable insights to make informed choices across strategic, tactical, and operational fronts. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.

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The Next Frontier in Telehealth

GAVS Technology

It can be done through an electronic scale, a vital sign monitor, a glucometer, or any other device that can effectively monitor bio-parameter. This form of telemedicine allows a patient to be easily monitored from home or a nearby facility, without having to travel a lot. billion by 2025 from an estimated USD 38.7

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AI and Data Storage: Reducing Costs and Improving Scalability 

Astera

As organizations strive to harness the power of this valuable resource, they are presented with exciting opportunities to efficiently store, effectively manage, and extract valuable insights from vast quantities of data. One significant impact of AI is the shift from a reactive to a proactive approach for storage management.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

Data Pine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?