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Breach of Clearview AI Server Exposed Source Code and More – Channel Futures

Caused by a misconfigured server, the security lapse is Clearviews second in two months.

A massive data breach of the Clearview AI server exposed source code, secret keys and pre-released developer versions of its apps. Clearview is a U.S. facial recognition firm serving U.S. law enforcement agencies and other organizations, The breach was reported in February. Clearview said at the time that although data had been accessed by unauthorized persons, its servers remained secure and its systems and network were not compromised. But now a compromised server has been found and it exposed massive amounts of information.

SpiderSilk, a Dubai-based cybersecurity firm, found a misconfigured server belonging to Clearview AI exposed Clearviews internal files, secret keys and credentials, apps, source code and employee messages.

Bitglasss Anurag Kahol

Clearview AIs latest security incident follows shortly after a data breach that compromised the companys client list. This time around, a misconfigured setting in Clearviews password-protected server allowed attackers to bypass authentication methods and gain access to the companys most sensitive internal files such as its source code, employees private messages and cloud storage buckets that hold copies of finished and pre-released developer versions of its app, said Anurag Kahol, CTO at Bitglass.

The company has come under fire over privacy concerns. It collects images from social media public profiles, usually without users or social media companies consent. Initially the company said it served only U.S. law enforcement, but several reports have come out since then naming private companies on the companys client list.

DivvyClouds Chris DeRamus

Clearview AI has gained a lot of attention not only from critics who are concerned about the privacy implications of its facial recognition technology, but also from hackers. Regardless of your personal feelings about the company, Clearviews second security lapse in just two months demonstrates how common misconfigurations are when companies lack proper cloud security strategies, and how easily threat actors can exploit these vulnerabilities, said Chris DeRamus, CTO of DivvyCloud.

DivvyClouds latest report found that the number of records exposed by miscongurations rose by 80% from 2018 to 2019. Further, the researchers reported that more than 33 billion records were exposed this way over the last two years.

Bad actors could steal the exposed information for a competing company or leverage the secret keys and credentials to gain access to even more private information as people commonly reuse their passwords across multiple accounts, said Kahol.

But this Clearview AI incident comes with a wicked twist.

Usually, when we talk about breaches and cloud misconfigurations, its customer or employee data that is at risk, but this is an example of a security incident that is putting a companys intellectual property at risk, said Kahol.

But with every breach comes lessons learned for security partners. Savvy MSSPs take note and adjust their services to better protect their clients.

This particular misconfiguration incident highlights the need for enterprises to adopt least-privileged access across cloud environments, including a robust approach to identity and access management (IAM). In these environments, everything has an identity users, applications, services, and systems, said DeRamus.

Organizations must implement multifactor authentication (MFA) for all users, securely manage service accounts and their corresponding keys, enforce least-privileged access, and enforce best practices for the use of audit logs and cloud logging roles, DeRamus added.

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Alibaba To Invest $28 Billion On Cloud Infrastructure Over Three Years – Analytics India Magazine

Alibaba Cloud has announced that it will invest about $28 billion to augment its infrastructure. To be utilised over the next three years, it will focus on technologies including OS, chips, servers, and network.

The data intelligence wing of Alibaba Group will be offering enhanced cloud services to clients. With the Covid-19 pandemic slowing businesses across the globe, it aims to help them expedite their digital transformation after the outbreak has been contained.

Covid-19 has posed additional stress across sectors. This has steered us to put more focus on the digital economy, said Jeff Zhang, President of Alibaba Cloud Intelligence. By increasing our investment on cloud infrastructure, we hope to continue providing computing resources to help businesses speed up the recovery process, he adds.

The global cloud computing leader has data centers in 63 availability zones, including two in India. It is also the top public cloud service provider in APAC, and serves millions of customers across 21 regions globally. In its last quarterly earnings report, Alibaba reported that its cloud revenue grew 62% to $1.5 billion.

Over the past decade, it has developed its technologies across the board, including the Apsara Distributed Operating System, X-dragon Architecture, RDMA (Remote Direct Memory Access) high-speed network, and Super Computing Cluster, among others.

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Major Imact of COVID-19 outbreak on Bitcoin Mining Servers Market with Size,Share and outlook by 2090 – Cole of Duty

Complete study of the global Bitcoin Mining Servers market is carried out by the analysts in this report, taking into consideration key factors like drivers, challenges, recent trends, opportunities, advancements, and competitive landscape. This report offers a clear understanding of the present as well as future scenario of the global Bitcoin Mining Servers industry. Research techniques like PESTLE and Porters Five Forces analysis have been deployed by the researchers. They have also provided accurate data on Bitcoin Mining Servers production, capacity, price, cost, margin, and revenue to help the players gain a clear understanding into the overall existing and future market situation.

Key companies operating in the global Bitcoin Mining Servers market include _:, BitMain Technologies Ltd., MinerGate, Bitfury USA, Inc., Multiminer Pool, Genesis Mining Cloud Services Ltd.,

Get PDF Sample Copy of the Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, Chart) :

https://www.qyresearch.com/sample-form/form/1664502/global-bitcoin-mining-servers-market

Segmental Analysis

The report has classified the global Bitcoin Mining Servers industry into segments including product type and application. Every segment is evaluated based on growth rate and share. Besides, the analysts have studied the potential regions that may prove rewarding for the Bitcoin Mining Servers manufcaturers in the coming years. The regional analysis includes reliable predictions on value and volume, thereby helping market players to gain deep insights into the overall Bitcoin Mining Servers industry.

Global Bitcoin Mining Servers Market Segment By Type:

, Hardware, Software

Global Bitcoin Mining Servers Market Segment By Application:

, Energy, Banking, Financial Services and Insurance (BFSI), Others

Competitive Landscape

It is important for every market participant to be familiar with the competitive scenario in the global Bitcoin Mining Servers industry. In order to fulfil the requirements, the industry analysts have evaluated the strategic activities of the competitors to help the key players strengthen their foothold in the market and increase their competitiveness.

Key companies operating in the global Bitcoin Mining Servers market include _:, BitMain Technologies Ltd., MinerGate, Bitfury USA, Inc., Multiminer Pool, Genesis Mining Cloud Services Ltd.,

Key questions answered in the report:

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TOC

1 Market Overview of Bitcoin Mining Servers1.1 Bitcoin Mining Servers Market Overview

1.1.1 Bitcoin Mining Servers Product Scope

1.1.2 Market Status and Outlook1.2 Global Bitcoin Mining Servers Market Size Overview by Region 2015 VS 2020 VS 20261.3 Global Bitcoin Mining Servers Market Size by Region (2015-2026)1.4 Global Bitcoin Mining Servers Historic Market Size by Region (2015-2020)1.5 Global Bitcoin Mining Servers Market Size Forecast by Region (2021-2026)1.6 Key Regions Bitcoin Mining Servers Market Size YoY Growth (2015-2026)

1.6.1 North America Bitcoin Mining Servers Market Size YoY Growth (2015-2026)

1.6.2 Europe Bitcoin Mining Servers Market Size YoY Growth (2015-2026)

1.6.3 China Bitcoin Mining Servers Market Size YoY Growth (2015-2026)

1.6.4 Rest of Asia Pacific Bitcoin Mining Servers Market Size YoY Growth (2015-2026)

1.6.5 Latin America Bitcoin Mining Servers Market Size YoY Growth (2015-2026)

1.6.6 Middle East & Africa Bitcoin Mining Servers Market Size YoY Growth (2015-2026)1.7 Coronavirus Disease 2019 (Covid-19): Bitcoin Mining Servers Industry Impact

1.7.1 How the Covid-19 is Affecting the Bitcoin Mining Servers Industry

1.7.1.1 Bitcoin Mining Servers Business Impact Assessment Covid-19

1.7.1.2 Supply Chain Challenges

1.7.1.3 COVID-19s Impact On Crude Oil and Refined Products

1.7.2 Market Trends and Bitcoin Mining Servers Potential Opportunities in the COVID-19 Landscape

1.7.3 Measures / Proposal against Covid-19

1.7.3.1 Government Measures to Combat Covid-19 Impact

1.7.3.2 Proposal for Bitcoin Mining Servers Players to Combat Covid-19 Impact 2 Bitcoin Mining Servers Market Overview by Type2.1 Global Bitcoin Mining Servers Market Size by Type: 2015 VS 2020 VS 20262.2 Global Bitcoin Mining Servers Historic Market Size by Type (2015-2020)2.3 Global Bitcoin Mining Servers Forecasted Market Size by Type (2021-2026)2.4 Hardware2.5 Software 3 Bitcoin Mining Servers Market Overview by Type3.1 Global Bitcoin Mining Servers Market Size by Application: 2015 VS 2020 VS 20263.2 Global Bitcoin Mining Servers Historic Market Size by Application (2015-2020)3.3 Global Bitcoin Mining Servers Forecasted Market Size by Application (2021-2026)3.4 Energy3.5 Banking, Financial Services and Insurance (BFSI)3.6 Others 4 Global Bitcoin Mining Servers Competition Analysis by Players4.1 Global Bitcoin Mining Servers Market Size (Million US$) by Players (2015-2020)4.2 Global Top Manufacturers by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Bitcoin Mining Servers as of 2019)4.3 Date of Key Manufacturers Enter into Bitcoin Mining Servers Market4.4 Global Top Players Bitcoin Mining Servers Headquarters and Area Served4.5 Key Players Bitcoin Mining Servers Product Solution and Service4.6 Competitive Status

4.6.1 Bitcoin Mining Servers Market Concentration Rate

4.6.2 Mergers & Acquisitions, Expansion Plans 5 Company (Top Players) Profiles and Key Data5.1 BitMain Technologies Ltd.

5.1.1 BitMain Technologies Ltd. Profile

5.1.2 BitMain Technologies Ltd. Main Business and Companys Total Revenue

5.1.3 BitMain Technologies Ltd. Products, Services and Solutions

5.1.4 BitMain Technologies Ltd. Revenue (US$ Million) (2015-2020)

5.1.5 BitMain Technologies Ltd. Recent Developments5.2 MinerGate

5.2.1 MinerGate Profile

5.2.2 MinerGate Main Business and Companys Total Revenue

5.2.3 MinerGate Products, Services and Solutions

5.2.4 MinerGate Revenue (US$ Million) (2015-2020)

5.2.5 MinerGate Recent Developments5.3 Bitfury USA, Inc.

5.5.1 Bitfury USA, Inc. Profile

5.3.2 Bitfury USA, Inc. Main Business and Companys Total Revenue

5.3.3 Bitfury USA, Inc. Products, Services and Solutions

5.3.4 Bitfury USA, Inc. Revenue (US$ Million) (2015-2020)

5.3.5 Multiminer Pool Recent Developments5.4 Multiminer Pool

5.4.1 Multiminer Pool Profile

5.4.2 Multiminer Pool Main Business and Companys Total Revenue

5.4.3 Multiminer Pool Products, Services and Solutions

5.4.4 Multiminer Pool Revenue (US$ Million) (2015-2020)

5.4.5 Multiminer Pool Recent Developments5.5 Genesis Mining Cloud Services Ltd.

5.5.1 Genesis Mining Cloud Services Ltd. Profile

5.5.2 Genesis Mining Cloud Services Ltd. Main Business and Companys Total Revenue

5.5.3 Genesis Mining Cloud Services Ltd. Products, Services and Solutions

5.5.4 Genesis Mining Cloud Services Ltd. Revenue (US$ Million) (2015-2020)

5.5.5 Genesis Mining Cloud Services Ltd. Recent Developments 6 North America Bitcoin Mining Servers by Players and by Application6.1 North America Bitcoin Mining Servers Market Size and Market Share by Players (2015-2020)6.2 North America Bitcoin Mining Servers Market Size by Application (2015-2020) 7 Europe Bitcoin Mining Servers by Players and by Application7.1 Europe Bitcoin Mining Servers Market Size and Market Share by Players (2015-2020)7.2 Europe Bitcoin Mining Servers Market Size by Application (2015-2020) 8 China Bitcoin Mining Servers by Players and by Application8.1 China Bitcoin Mining Servers Market Size and Market Share by Players (2015-2020)8.2 China Bitcoin Mining Servers Market Size by Application (2015-2020) 9 Rest of Asia Pacific Bitcoin Mining Servers by Players and by Application9.1 Rest of Asia Pacific Bitcoin Mining Servers Market Size and Market Share by Players (2015-2020)9.2 Rest of Asia Pacific Bitcoin Mining Servers Market Size by Application (2015-2020) 10 Latin America Bitcoin Mining Servers by Players and by Application10.1 Latin America Bitcoin Mining Servers Market Size and Market Share by Players (2015-2020)10.2 Latin America Bitcoin Mining Servers Market Size by Application (2015-2020) 11 Middle East & Africa Bitcoin Mining Servers by Players and by Application11.1 Middle East & Africa Bitcoin Mining Servers Market Size and Market Share by Players (2015-2020)11.2 Middle East & Africa Bitcoin Mining Servers Market Size by Application (2015-2020) 12 Bitcoin Mining Servers Market Dynamics12.1 Industry Trends12.2 Market Drivers12.3 Market Challenges12.4 Porters Five Forces Analysis 13 Research Finding /Conclusion 14 Methodology and Data Source 14.1 Methodology/Research Approach

14.1.1 Research Programs/Design

14.1.2 Market Size Estimation

14.1.3 Market Breakdown and Data Triangulation14.2 Data Source

14.2.1 Secondary Sources

14.2.2 Primary Sources14.3 Disclaimer14.4 Author List

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Granulate raises $12 million to optimize server performance with AI – VentureBeat

Granulate, a startup developing a platform that optimizes computing infrastructure in real time, today announced that it raised $12 million, bringing its total raised to date to $15.6 million. The companys products could reduce the time engineers spend fine-tuning the performance of enterprise systems, freeing them up to pursue more creative and impactful projects.

Granulates eponymous product comprises agents that can be installed on any Linux server in data centers or cloud environments, including virtual machines. These agents, which are underpinned by AI, adapt both to operating systems and kernels, prioritizing threads while taking into account each requests processing stage and employing a network stack that enables high parallelism. Granulate analyzes memory usage patterns and sizes to optimize allocations and release of memory for each app, and it autonomously crafts congestion control prioritizations between connections, optimizing throughput for the current workload and network status.

Most companies run at 35% IT infrastructure utilization or less due to strict quality of service and stability needs. Granulate solves the trade-off between quality of service and costs, providing customers improved results in both, said Granulate cofounder and CEO Asaf Ezra, who previously did a stint at cyber research and security firm KayHut after serving four years in the Israeli Defense Forces.

Applying AI to data center operations isnt a new idea IDC predicts that 50% of IT assets in data centers will run autonomously using embedded AI functionality by 2022. To this end, Concertio, which recently raised $4.2 million, provides AI-powered system optimization tools for boosting hardware and software performance. Facebook has said that it employs AI internally to speed up searches for optimal server settings. And IBM offers a tool Data Center Advisor with Watson that calculates data center health scores and predicts potential issues or failures.

Above: Granulates analytics dashboard.

Image Credit: Granulate

But according to Ezra, Granulates suite which works with existing monitoring tools like Prometheus, AppDynamics, New Relic, Datadog, Dynatrace, and Elastic is installed in dozens of production environments and tens of thousands of servers, and its more performant than most. It improves the throughput of machines by up to five times on average, the company claims, leading to up to a 60% compute cost savings and a 40% reduction in latency.

Startapp, a mobile data platform with over 1.5 billion monthly active users and 800,000 partner apps, reports that Granulate achieved a 30% reduction in average latency and a 25% processor utilization reduction, netting a 33% compute cost reduction. Another customer Bigabid, an advertising technology company specializing in mobile user acquisition and re-engagement for gaming, dating, and productivity apps says it managed to reduce compute costs by 60% within 15 minutes of deploying Granulate.

Given the current economic slowdown, we are even more excited about helping businesses across the globe achieve dramatic cost reductions necessary to thrive amid changes in the global business environment, Ezra added.

Granulates financing round (a series A) was led by Insight Partners, with participation from TLV Partners and Hetz Ventures. It brings the companys total raised to $15.6 million shortly after its graduation from the 16-week Intel Ignite accelerator program. Ezra, who cofounded Granulate with Tal Saiag in 2018, says the capital will support the Tel Aviv-based companys growth and expansion as it triples the size of its R&D, sales, and marketing departments. (Granulate has 14 employees, and it expects to triple its headcount to roughly 40 by 2021.)

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I Know About The Cloud But How Do I Get There? GeekWire Events Calendar – GeekWire

This webinar has two different time slots to choose from: 8:00am-8:30am and 11:00am-11:30am

All successful businesses have one thing in common: they can adapt and change for the better in midst of an ever-evolving business environment. Currently, the economy is witnessing major changes & challenges, and the most successful companies are those who are embracing the digitization of customer experiences and digital transformation for internal company processes. A term that often comes out when talking about digital transformation is Cloud Migration, but the knowledge about what is cloud migration and how it can benefit a company is often vague and full of gaps for the average businessperson.

Advaiya, headquartered in Bellevue, is consistently striving to Make Technology Work for its clients and partners by providing end-to-end consultation and implementation services in the field of digital transformation. The first step in this process is to remove the vagueness related to technology change and fill the knowledge gaps with relevant and customized solutions.

Keeping this in mind, Advaiya is pleased to announce a new Webinar to educate and enlighten on the topic, I know about the cloud but how do I get there? In this Webinar, attendees will see how an organization can benefit by migrating data from a traditional on-premises environment to a nimble cost-effective cloud company. Through this change, you will highlight how you will become more flexible, secure, collaborative and most of all, more competitive by shifting to cloud servers instead of traditional data centers.

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Zoom 5 0 update released with several security improvements amidst public backlash – Digit

Zoom has released a 5.0 update to its popular video conferencing service with many security and privacy improvements that give the company some breathing space amidst public backlash. The Indian government even issued an advisory that states Zoom isnt a safe platform for official communication and hence restricted its employees from using the app for official work.

Zooms latest update targets this outrage with reinforced security features like the support for AES 256-bit encryption, the ability to report a user and more. In a statement to the press, Oded Gal, CPO of Zoom said, From our network to our feature set to our user experience, everything is being put through rigorous scrutiny. On the back end, AES 256-bit GCM encryption will raise the bar for securing our users data in transit. On the front end, Im most excited about the Security icon in the meeting menu bar. This takes our security features, existing and new, and puts them front and centre for our meeting hosts. With millions of new users, this will make sure they have instant access to important security controls in their meetings.

Zooms latest update brings more robust network support with new control options and a focus on improving the user experience. The update brings support for AES 256-bit GCM encryption standard that strengthens the security of data transmitted between calls making it secure from unauthorized access.

This new encryption technology is being rolled out to Zoom Meeting, Webinar and Phone data will be activated on May 30, after all accounts have been seeded the 5.0 update. Moreover, administrators can now choose to control which data centre is being used to route traffic to your Zoom meeting.

The new update also adds a dedicated security menu button in the video calling interface that groups together all the necessary security options. Zoom meeting hosts will also be able to report a user from Security settings and restrict participants from changing their log-in names.

Zoom users who own a Basic, education or a Pro account will now notice that the waiting room is enabled by default for hosts to keep participants ready to join the meeting. The update also activates meeting passwords by default and hosts can even modify the password complexity.

Call recordings stored on cloud servers can be accessed by hosts without any password but everyone else would require a password to access those recordings.

Zoom 5.0 also brings in support for organizations to link contacts across multiple accounts for people to easily search for meetings and chats.

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Integrating AI & ML in cloud services for healthcare: The benefits and risks – ETCIO.com

By Shreekanth Joshi

Artificial intelligence (AI) and machine learning (ML) have seen exponential growth in their ability to consume large amounts of data and produce accurate insights that approach human level accuracy. This has largely been possible due to the availability of cloud-based resources that are scalable, more cost effective and readily available.

In the healthcare industry, the analytics of health-related data is improving care from super specialized tertiary care centers to secondary and primary care. Telemedicine is making these insights available at the point of care, leading to better and more specialized diagnosis. Both developments make more reliable care available in real time across the last mile and help bridge the gap between large numbers of patients and a limited number of healthcare providers.

Access to care is a major issue in the case of geographically distributed populations. But digital tools and resources can be provisioned on the cloud and made available over the last mile to these areas with data network coverage. This allows primary centers to diagnose and collect digital samples and send them for analysis to tertiary centers.

Machine learning models can be made more robust and accurate using cloud infrastructure. The flexible resourcing available in the cloud can track more last mile data from devices, wearables and health trackers, then stream and aggregate it cheaply in cloud-based storage. The heavy-duty analysis of this large amount of data can be done efficiently using cloud-based compute infrastructure. This in turn allows the ML models to be trained more effectively and their accuracy improves over time.

The large amount of data available for training makes ML models scale even better. For several tasks in image analysis, for example, the model accuracy is already reaching human level. ML models can be made more personalized to start generating recommendations that are very specific to individual patients.

Regulatory Considerations

All this computation comes at a regulatory cost. Data must be secured at rest and in motion, and be anonymize before feeding into the ML models and recommendations must be re-identified to make them specific to a particular patient. This involves resources from not one but multiple cloud providers working in a hybrid manner.

The National Digital Health Blueprint calls for strict adherence to regulations with respect to privacy and protection of patient data. As a result, advanced technical check points need to be implemented to prevent patient data from being accidentally disclosed to unintended recipients.

Its also necessary to enforce consent-related policies that allow patient data to be used only by healthcare professionals with consent and for a specified duration.

This requires a heavy emphasis on securing cloud environments and enforcing controls for data access, processing and the dissemination of insights.

ML models also ingest significant amounts of personal data from each patient device, such as the health tracker on a mobile phone or wearables like Fitbit or sleep monitors, insulin monitors and even blood pressure monitors. All these devices must be integrated with the cloud resources to enable end to end data processing.

Given stringent regulation and privacy requirements, data privacy and access must be monitored and governed. This calls for the use of technologies for data and cloud management. IT teams must have comprehensive management frameworks that can integrate personal and corporate devices and implement the necessary safeguards.

Modern unified management frameworks provide a way to make this problem more manageable and can implement the necessary governance best practices to manage the consumer devices, mobile apps and back-end cloud platforms.

The author is Vice President, Engineering, Persistent Systems

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Intel: The Growth Story Continues – Seeking Alpha

Source: Intel

Intel Corporation (INTC) is the worlds largest manufacturer of semiconductor products. Despite its size, it has achieved constant revenue growth with a five-year average growth rate of 5.57%, and accordingly its stock price near doubled in that same period. However, the slowdown of the PC market poses a risk to the companys continued growth as most of its revenue is derived from its CPUs. Fortunately, the company had foreseen this and accordingly expanded into the data centre space, which is the companys current focus. Looking further ahead, Intel has already laid the groundwork with several high growth segments to ensure its future growth will be fulfilled.

While many companies seek to diversify their revenue for additional growth, few have the scale and resources that Intel do. Additionally, we found reasonable indication that the company could rapidly scale in these newer businesses. We had to look no further than Intel itself, looking at its rapid expansion into the second largest segment, Data Center Group (DSG). The three main success factors identified were:

Intel had used these strengths to their advantage when diversifying to DCG and we expect it to take full advantage of them to expand into its newer segments.

Revenue Segment

$ mln

% Revenue

Growth Driver

Client Computing Group (CCG)

37,146

51.39%

Past

Data Center Group (DCG)

23,481

32.49%

Present

Non-Volatile Memory Solutions Group (NVMG)

4,362

6.04%

Present/Future

Intel Security Group (ISG)

313

0.43%

Present/Future

Internet of Things Group (IoT)

3,821

5.29%

Future

Programmable Solutions Group (PSG)

1,987

2.75%

Future

Automated Driving Group (ADG)

879

1.22%

Future

All Other

289

0.40%

N/A

Source: Intel

Intels business segments can be viewed as a representation of three different timelines of growth. In the table above, we labelled the time period in which these segments serve as the main growth driver to Intel. Before getting into Intels newer high growth segments, we explain why Intels Client Computing Group (CCG) has seen its best days gone past.

Intels largest segment, the Client Computing Group (CCG), is a representation of Intels rich history in CPUs spanning back to 1968. As the inventor of the x86 series of CPUs, it holds the worlds largest market share of CPUs. This segment undoubtedly made Intel into the giant it is today. The PC-centric CCG accounts for revenue from mostly notebooks and desktops. As mentioned, personal computer unit sales have been on a decline which does not bode well for Intel. Its three largest customers; Dell Technologies Inc. (DELL) (16% of revenue), Lenovo (OTCPK:LNVGY) (12%) and Hewlett Packard (HPE) (11%) also happen to be the three largest PC-makers in the world by market share, as seen below.

Source: Statista

With PC unit sales decreasing by an average of 4.09% annually since 2012, we expect this trend to further continue as PCs' lifespans continue to increase, with current life spans reaching 5-8 years. This is supported by PC vendors that are becoming increasingly competitive by offering better after-sales service such as maintenance, repair and upgrade services. According to data from Statista, the decline in terms of unit sales for Intel has been occurring since the end of 2016, with Intel not only losing unit sales due to the overall PC market but also due to loss of market share to Advanced Micro Devices (AMD).

Over the last few years, AMD has seen a strong recovery in the PC market, with the launch of Ryzen and Epyc CPUs. AMDs CPUs not only offer better multi-core performances, but sell for much lower prices as identified:

Intel CPU Average Selling Price

AMD CPU Average Selling Price

$735.65

$322.20

Source: CPU World

Besides AMD, new ARM-based processors by Arm Holdings (owned by SoftBank (OTCPK:SFTBY)) have proven to be worthy substitutes with some of Intels top customers, including Lenovo and HP having released ARM-based laptops. Surprisingly, Intel has managed to maintain a slight revenue growth by increasing its average selling prices. However, as Intels CPU prices already significantly outprice AMDs, we do not see a sustainable way for Intel to increase its revenue for this segment.

In the last earnings call, Intel CFO George Davis guided for low single-digit growth for its PC-centric segment. However, we feel this is overly optimistic. While the COVID-19 pandemic has created temporary tailwinds for PCs as people are mandated to work from home, this will normalize towards the end of the year. Additionally, consumers become much more price sensitive in recessions, and AMDs more affordable processors provide much better alternatives. Considering this, even after accounting for an increase in average selling prices for Intels CPUs, and a temporary increase in unit sales for this quarter, our calculations show revenue for CCG will decrease in the long term.

Around the same time that PC sales started to decline, Intel began rapidly scaling in the data centre space by supporting its core PC customers and other cloud players in providing chips for the computing power requirements of their data centers. This brings us to the present.

While Intel has exposure to millions of end-consumers through its PC customers, Intel only has a few direct customers itself. The nature of the semiconductor industry means chipmakers like Intel control most of the chip supply to large OEMS (smartphone manufacturers, PC manufactures, automakers, data centre companies and e-commerce platforms). This explains how just 3 customers (PC manufactures) make up 39% of Intels $71.9 billion revenue.

This also means Intel can very quickly gain access to large buyers. Intel did just that by leveraging its existing CCG customers such as Lenovo and Dell to rapidly grow in the DCG space over the past 5 years, as seen below.

Source: Intel

Intel continued to build on these existing customers by offering newer products from its portfolio. For example, Intel recently announced a multiyear agreement with Lenovo to provide its server chips for High Performance Computing and AI workloads. By building onto its product portfolio, it gained newer customers in the cloud space such as Amazon (AMZN), Microsoft (MSFT), Alibaba (BABA) and Google (GOOG) (NASDAQ:GOOGL). Microsoft utilizes Intels Xeon Scalable processors in its Azure cloud servers, while Chinese e-commerce giant Alibaba deploys Intels processor and memory technology for its e-commerce website. Building on this, Intel is collaborating with Alibaba for the 2021 Olympics in Japan where Intel will power 3D Athlete Tracking Technology.

While Intel serves large players in this space, it does face some competition from AMD which has also secured some heavy hitters of its own, with orders from major players such as Dell, IBM (IBM) and Nokia (NOK). As such, while this segment remains Intels present focus, the company has taken steps to establish newer business segments through product expansion and acquisitions to secure its future growth.

We can see Intel doing well in its future segments, as it is already replicating the key drivers that made the DCG expansion successful: 1) leveraging existing customer relationships, 2) securing newer customers through its portfolio of products, and 3) riding the high growth of the markets.

Intel has built its broad portfolio of products outside of CPUs, to include GPUs, FPGAs and ASICs. This provides the opportunity for Intel to cross-sell its products to both existing and newer customers. Intel has already proved this by securing contracts with existing cloud service customers including Google, Oracle (ORCL), Cisco (CSCO), Dell and Lenovo for its Non-Volatile Memory Solutions Group (NSG) segment. Dell, which is Intels CCG and DCG customer, utilizes Intels 3D NAND Optane SSDs and its Xeon server processors making it a customer for yet another business segment. Intel has proven it can gain market share in new markets easily, despite the memory market being highly competitive with large memory players such as Samsung (OTC:SSNLF), Micron (MU) and SK Hynix (OTC:HXSCF).

Intel also grew its product portfolio inorganically through acquisitions. It acquired McAfee in 2011 which now forms its Security Group (ISG) segment, and recently it acquired Altera, specialised in field programmable field array (FPGA) to operate under its Programmable Solutions Group (PSG) segment and Mobileye, a developer of advanced driver assistance systems for autonomous vehicles to operate under its high-growth Automated Driving Group (ADG) segment. The main competitors to its ISG segment are Symantec (acquired by Broadcom (AVGO)), ESET, Bitdefender, AVAST Software, and Kaspersky Lab. Despite the competition, Intel had the advantage of a wide customer base of large enterprises to cross-sell McAfees security solutions. As PCs and anti-virus software go hand-in-hand, it was a no-brainer that Dell and HP would sell their PCs and laptops with McAfee software pre-installed. And of course, Intel takes the opportunity to also extend McAfee cybersecurity solutions to its DCG customers, Google and Microsoft.

Building on this, Intel managed to secure Microsoft into utilizing its Stratix FPGAs in Microsofts Azure cloud platform, configured to run deep learning models. However, Intel failed to rope all of its customers into FPGAs, as it faces strong competition from Xilinx, the market leader of FPGAs with about 65% market share. Xilinx enjoys a technological lead over Intel as its FPGAs are based on 7nm manufacturing process while Alteras are based on the 10nm and 14nm. Due to Xilinxs lead, it has managed to also secure cloud vendors Alibaba and Amazon (Intels DCG customers) to use its FPGAs.

While there is competition in the Autonomous Driving space from Nvidia (NVDA) and NXP (NXPI), ADG has been Intels fastest growing segment, increasing 26% Y/Y in 2019. Underlying this strong growth is its partnerships with automakers around the world. Intel recently announced a partnership with Chinese auto manufacturer SAIC. The addition of SAIC to its existing partnership with Nio will strengthen Intels foothold in the Chinese auto market.

The Internet of Things Group (IoTG) exemplifies Intels broad range of capabilities. For instance, Intel recently announced a partnership with The Sinclair, Autograph Collection owned by Marriott International (MAR), to build the worlds first digital hotel, by providing in-room sensors, Wi-Fi cloud networking solutions, PoE-powered and LED mirrors. There are more than 140 Autograph Collection properties globally. Should the partnership extend, we estimated a revenue of at least $45.9 million based on a total of 164 rooms per hotel with chip revenue of $2,000/room for Intel. While this is not significant, opportunities such as these were not previously thought possible. With the world becoming increasingly interconnected, the Internet of Things (IoT) has opened up a realm of possibilities and we see companies like Intel who have the capability to provide end-to-end solutions, being able to capitalize on these opportunities.

A potential opportunity we see for Intel is through continued support for Microsofts Azure platform with its new technologies in AI, machine learning and edge computing workloads. Intel may have also already secured a huge partner for its new GPUs, as it hinted that it may supply its upcoming Xe discrete GPU accelerators to Lenovo. Additionally, should Intel jump up a manufacturing node for FPGA, it wouldnt be surprising to see Intel secure some of Xilinxs customers (which have longer established relationships with Intel). As exemplified, Intel has the capability to rapidly expand its newer segments through partnerships with both existing and new customers.

Lastly, while these newer segments currently only make up 16.12% of revenue, they operate in very high growth markets as seen below.

*4-year CAGR

**3-year CAGR

***1-year CAGR

Our model projected revenue growth based on overall market growths and industry competitiveness. It has also been seasonally adjusted while also taking into account the negative impacts of the coronavirus for the first half of FY2020. They further reflect the potential revenue opportunities that potentially exist in each segment based on emerging technologies and the presence of Intels customers overlapping in said markets.

Source: Intel, Khaveen Investments

Year

2014

2015

2016

2017

2018

2019

2020E*

2021E*

Revenue

56,574

55,329

59,054

63,572

71,993

73,188

83,718

83,023

Y/Y %

N/A

-2.2%

6.7%

7.7%

13.2%

1.7%

14.4%

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The dangerous duo of the global oil glut and the coronavirus-spawned economic shutdown already has whacked Houston's oil and gas sector. The crippling of the American economy has taken its toll on the region's clean energy industry as well.

In a report released April 15, a coalition of clean energy groups tallied the loss of 106,472 U.S. clean energy jobs in March. Texas accounted for 4,246 of the lost jobs, a 1.7 percent decline in the state's clean energy workforce. A metro-by-metro breakdown wasn't available.

The nationwide loss erased all of last year's gains in clean energy jobs in the renewable energy, energy efficiency, clean vehicles, energy storage and clean fuels segments, the report states.

While that's a troubling development, the report predicts more than 500,000 clean energy jobs could at least temporarily be wiped out in the coming months. That would represent about 15 percent of the country's clean energy workforce.

"The economic fallout from COVID-19 is historic in both size and speed," Phil Jordan, vice president and principal of BW Research Partnership, says in a release. "Activities across the entire range of clean energy activities, from manufacturing electric vehicles to installing solar panels, are being impacted. And the data pretty clearly indicate that this is just the beginning."

Based on an analysis of U.S. Department of Labor data, the report found those who lost jobs included electricians, HVAC and mechanical technicians, construction workers, solar power installers, wind power engineers and technicians, and manufacturing workers.

The report was produced by E2 (Environmental Entrepreneurs), the American Council on Renewable Energy (ACORE), E4TheFuture and BW Research Partnership.

Gregory Wetstone, CEO of ACORE, tells InnovationMap that the country's clean energy sector has been hobbled by supply chain disruptions, shelter-in-place orders and other pandemic-related interruptions.

"It is impossible to know the long-term trajectory of this pandemic, but it clearly threatens the trajectory of an industry that has led the nation in job creation for five consecutive years and is securing annual investment numbers in the range of $50 billion," Wetstone says. "With smart federal policies, we can continue that upward trajectory."

Ed Hirs, an energy fellow and economics lecturer at the University of Houston, says he thinks the hit being taken by the clean energy sector is a short-lived setback. He cites the long-term strength of the clean energy industry strength demonstrated by recent high-profile investments in the sector.

In December, Private Equity News reported that investment manager BlackRock Inc. raised a record $1 billion for its latest renewable energy fund. A month later, Altus Power America Inc., a solar energy provider based in Connecticut, said private equity powerhouse Blackstone Group Inc. had pumped $850 million into the company.

Hirs says he expects post-coronavirus growth in the clean energy sector to be "pretty robust." As of April 2019, the Houston area was home to more than 100 wind-related companies and more than 30 solar-related companies, according to the Greater Austin Partnership.

At the end of 2019, Texas boasted 683 solar companies and 10,261 solar jobs, according to the Solar Energy Industries Association. Solar investment in the state exceeds $6 billion. The association says the Lone Star State "is poised to become a nationwide leader in solar energy ."

As for wind, it essentially tied with coal as the top source of power for Texas homes and businesses in 2019. This year in Texas, wind is projected to grab the No. 1 spot from coal. The state generates about one-fourth of the country's wind power, and the wind industry employs more than 25,000 Texans.

Hirs anticipates solar and wind installations in Texas will continue to escalate, although some companies might put off capital expenditures for about two to four months. "I don't see the economics changing on them anytime soon," he says.

The groundswell of interest in solar and wind power will be a boon to Texas and the rest of the country, Hirs says. A 2019 poll by the Insider website found that Americans prefer solar and wind over all other power sources.

"I don't think the loss of employment and loss of progress on clean energy projects right now is anything but a temporary challenge," he says.

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COVID-19 and the Migration to SAP S/4 HANA – JD Supra

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