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Top Edge Computing Companies for 2021

#artificialintelligence

Edge computing companies offer a more efficient way to process and transmit data, solving two problems: the need for more IT infrastructure, and the massive amounts of unused data generated by edge points. With the rise of 5G networks, some believe edge computing is the next evolution in this space. If you're trying to find the best edge computing company for your business, this article will help you narrow your search. With edge computing, companies gain near real-time insights with less latency and lower cloud server bandwidth usage. With edge computing, companies gain near real-time insights with less latency and lower bandwidth usage.


Video analytics at the edge, an ideal technology for 5G cloud monetization

#artificialintelligence

Creating a programmable software infrastructure for telecommunication operations promises to reduce both the capital expenditure (CAPEX) and the operational expenses (OPEX) of the 5G telecommunications operators. What is exciting to many of us who work in this space is that the convergence of telecommunications, the cloud, and edge infrastructures will open up opportunities for new innovations and revenue for both the telecommunications industry and the cloud ecosystem. In this blog, we focus on video, the dominant traffic type on the internet since the introduction of 4G networks. With 5G, not only will the volume of video traffic increase, but there will also be many new solutions for industries, from retail to manufacturing to healthcare and forest monitoring, infusing deep learning and AI for video analytics scenarios. The symbiotic evolution of video analytics and edge computing provides opportunities for operators to offer new services which they can monetize with their customers.


Top Snowflake Interview Questions

#artificialintelligence

Snowflake is a cloud data warehouse provided as a software-as-a-service (SaaS). It consists of unique architecture to handle multiple aspects of data and analytics. Snowflake sets itself apart from all other traditional data warehouse solutions with advanced capabilities like improved performance, simplicity, high concurrency and cost-effectiveness. Snowflake's shared data architecture physically separates the computation and storage which is not possible by the traditional offerings. It streamlines the process for businesses to store and analyze massive volumes of data using cloud-based tools.


Becoming Future Flexible - 4 Key Tech Investments for Retail Banking in 2021

#artificialintelligence

These are the 3 pillars behind the 4 key technology investments that can catalyse retail banking today – and in so doing, provide the foundation to build for digital agility well into the future. This piece considers the role of Artificial Intelligence and Machine Learning, Cyber Security, 5G and Edge Computing (MEC) and Safety Technology. And the integrative array of benefits afforded is vast, including real-time personalised consumer insights, 360 degree data visibility, embedded zero trust security, enhanced organisational and network efficiency, and enhanced safety. As a result, this builds consumer (and employee) trust, confidence, experience and loyalty. But what has sparked the need for transformation?


Towards Personalized and Human-in-the-Loop Document Summarization

arXiv.org Artificial Intelligence

The ubiquitous availability of computing devices and the widespread use of the internet have generated a large amount of data continuously. Therefore, the amount of available information on any given topic is far beyond humans' processing capacity to properly process, causing what is known as information overload. To efficiently cope with large amounts of information and generate content with significant value to users, we require identifying, merging and summarising information. Data summaries can help gather related information and collect it into a shorter format that enables answering complicated questions, gaining new insight and discovering conceptual boundaries. This thesis focuses on three main challenges to alleviate information overload using novel summarisation techniques. It further intends to facilitate the analysis of documents to support personalised information extraction. This thesis separates the research issues into four areas, covering (i) feature engineering in document summarisation, (ii) traditional static and inflexible summaries, (iii) traditional generic summarisation approaches, and (iv) the need for reference summaries. We propose novel approaches to tackle these challenges, by: i)enabling automatic intelligent feature engineering, ii) enabling flexible and interactive summarisation, iii) utilising intelligent and personalised summarisation approaches. The experimental results prove the efficiency of the proposed approaches compared to other state-of-the-art models. We further propose solutions to the information overload problem in different domains through summarisation, covering network traffic data, health data and business process data.


The 2021 tech spending boom: Cyber, cloud, hybrid work and data will drive 8% IT budget growth - SiliconANGLE

#artificialintelligence

Every chief executive is figuring out the right balance for new hybrid business models. Regardless of the chosen approach, which will vary, technology executives understand they must accelerate digital and build resilience as well as optionality into their platforms. This is driving a dramatic shift in information technology investments at the macro level as we expect total spending to increase at 8% in 2021, a big turnaround from last year's contraction. Investments in cybersecurity, cloud, collaboration to enable hybrid work and data, including analytics, artificial intelligence and automation are the top spending priorities for CxOs. In this post we'll share some takeaways from ETR's latest survey and provide our commentary on what it means for markets, sellers and buyers. We'll also explain what we think Wall Street is missing about Amazon's latest earnings.


Apple Walks a Privacy Tightrope to Spot Child Abuse in iCloud

WIRED

For years, tech companies have struggled between two impulses: the need to encrypt users' data to protect their privacy and the need to detect the worst sorts of abuse on their platforms. Now Apple is debuting a new cryptographic system that seeks to thread that needle, detecting child abuse imagery stored on iCloud without--in theory–introducing new forms of privacy invasion. In doing so, it's also driven a wedge between privacy and cryptography experts who see its work as an innovative new solution and those who see it as a dangerous capitulation to government surveillance. Today Apple introduced a new set of technological measures in iMessage, iCloud, Siri, and search, all of which the company says are designed to prevent the abuse of children. A new opt-in setting in family iCloud accounts will use machine learning to detect nudity in images sent in iMessage.


What is a Data Fabric?

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Gartner says a data fabric is a custom-made design that provides reusable data services, pipelines, semantic tiers, or APIs via a combination of data integration approaches in an orchestrated fashion. It can be made better by adding dynamic schema recognition or even cost-based optimization approaches. As a data fabric becomes increasingly involved or even introduces ML capabilities, it changes from a data fabric into a data mesh network. Data fabric is a designed approach, mostly inclined toward use cases and locations on either "side" of a thread. The threads can cross and do handoffs in the centre or even reuse their parts, but they are not built dynamically.


Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds

arXiv.org Artificial Intelligence

Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models. Such notebooks tend to be executed either in the user's own machine or in a cloud environment, having drawbacks and benefits in both approaches. This paper presents a solution developed as a Jupyter extension that automatically selects which cells, as well as in which scenarios, such cells should be migrated to a more suitable platform for execution. We describe how we reduce the execution state of the notebook to decrease migration time and we explore the knowledge of user interactivity patterns with the notebook to determine which blocks of cells should be migrated. Using notebooks from Earth science (remote sensing), image recognition, and hand written digit identification (machine learning), our experiments show notebook state reductions of up to 55x and migration decisions leading to performance gains of up to 3.25x when the user interactivity with the notebook is taken into consideration.


AI, cyber terrain analytics improve hybrid multicloud security

#artificialintelligence

Typical hybrid cloud IT integration strategies have fundamental design flaws that CIOs and CISOs need to address if they're going to avert another attack on the scale of SolarWinds. The design flaws are evident in existing approaches to integrating public and private clouds with legacy systems. Inconsistent endpoint security and privileged access management has turned out to be highly penetrable and painfully lacking. The first two articles in this series explain how getting hybrid cloud security right is hard and how the SolarWinds hack exposed hybrid clouds' greatest weaknesses. This post lays out an approach to solve hybrid cloud security challenges today.