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As companies across diverse domains collect an increasing amount of information, they have started realizing the importance of
Top Data Analyst Jobs to Apply Data Analyst- Flipkart Analytics at FlipkartLocation: Bengaluru, Karnataka Roles and Responsibilities: As a data analyst at Flipkart Analytics, the candidate will be responsible for tracking key metrics through building and maintaining data pipelines and dashboards for visualization. Besides, he/she will be expected to have a very good handle on different data streams and address the organizations’ data requirements. They should gather user requirements for new reports and enhance existing reports. The candidate should create and maintain reporting tools and applications to support all strategic and tactical needs of the company. Qualifications:
The candidate should have strong experience in SQL, Excel, etc.
He/she should be well versed in logical and analytical concepts in databases, schemas, dimensional modeling, etc.
Besides, they are expected to have a basic understanding of scripting languages like R, Python, etc.
The candidate should have a working knowledge of data warehousing infra tools like Hive.
1+ years of working experience in a relevant field is mandatory.
Apply
Data Analyst at CapgeminiLocation: Delhi/NCR Roles and Responsibilities: The selected data analyst will work on data management projects and will be directly working with clients in meeting the Ad HOC demands as well as client requirements based on the technical requirements of the process. Qualifications:
The candidate should have SQL skills.
He/she should also be well-versed in Power BI and its applications.
They should possess extraordinary analytics skills.
Apply
Senior Data Analyst at UberLocation: Hyderabad Roles and Responsibilities: Uber is looking for an outstanding data analyst with over 5 years of experience to empower the company’s internal and external applications, products, and services with actionable insights. He/she will be responsible for building this program from the group up. They should engage in partnering with stakeholders, understanding all aspects of the products, interacting with cross-functional business and technical teams, manipulating and analyzing data, and building metrics and dashboards to influence and drive business decisions. Qualifications:
The candidate should have at least 5 years of working experience in quantitative or analytics roles.
He/she should have a good understanding of databases, data relationships, and data integrity.
They should demonstrate the ability to think strategically about business, product, and technical challenges.
The candidate should hold a bachelor’s degree inc computer science, mathematics, statistics, or any other related field.
Apply
Data Analyst- Payment System Intelligence at GenpactLocation(s): Bengaluru, Mumbai, Gurgaon Qualifications:
He/she should have at least 3-5 years of experience in analyzing large datasets and criteria to identify true positive or false positive alerts.
They should have prior experience in transaction data analysis, fraud analysis.
Apply
Business Data Analyst at Capco TechnologiesLocation: Bengaluru Roles and Responsibilities: Capco Technologies’ ‘Data Center of Excellence’ department is recruiting an enthusiastic, dynamic, junior data analyst to support the rollout of the BigID data discovery tool across Morgan Stanley. As a data analyst, the candidate is expected to validate source data configuration and execute data discovery scans for sensitive data. He/she should complete data analysis on scan results, identify and label identifies sensitive data. Qualifications:
Strong analytics skills, business acumen, demonstrated excellent oral and written communication are mandated.
The candidate should have the ability to work with excels and databases.
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Top Data Science Jobs In Faang Companies To Apply For In May
FAANG companies pay a fortune for data science jobs like data scientists and analysts
Over the past two decades,
Top Data Science Jobs in FAANG Companies Data Analyst, Product Support Operations at MetaLocation(s): Sunnyvale-CA, Austin-TX, Seattle-WA, Remote Roles and Responsibilities: Meta is seeking an experienced data analyst to join the team, who will focus on leading analytics efforts with cross-functional teams to improve the product experience by providing scalable data solutions, business intelligence, and analytics to PSO. The candidate should develop and manage end-to-end analytics solutions from requirements gathering, establishing key metrics, building a data pipeline, and dashboard, and analyzing data to drive the performance of operations. Qualifications:
The candidate should have 3+ years of experience in quantitative analysis, SQL, data visualization tools, etc.
He/she should experience communicating with a variety of audiences and stakeholders.
Apply
Data Analyst, Global Talent Selection at MetaLocation(s): Austin-TX, Washington-DC, New York, San Francisco-CA, Remote Roles and Responsibilities: The company is looking for data analysts who share their passion for building new functionality and improving existing systems. He/she should build new analytics and reporting capabilities to support program evaluation and operations. They should handle and how reporting analytics requests while addressing stakeholders’ long-term needs and driving insights for human resource partners and executives using existing dashboards. Qualifications:
The candidate should have 4+ years of experience working with SQL or relational databases.
Experience initiating and driving projects to completion with minimal guidance is mandatory.
He/she should have experience having effective conversations with clients about their support needs and requirements, managing the intake process, and asking the right questions to the scope and solve the requests.
Apply
Data Scientist at AppleLocation(s): Hyderabad, Telangana Roles and Responsibili]tes: As a data scientist at Apple, the candidate should design data science solutions to solve business challenges. He/she should be part of a large team, working on research and project delivery. They will apply statistical thinking and machine learning methods. The candidate should communicate complex concepts in intelligible ways. He/she will manage time and priorities in an exciting and changing environment. Qualifications:
The candidate should have 8-years of experience in data science and machine learning.
Hands-on programming language experience and proven competency in Python or R coding are mandatory.
He/she should have a good degree of knowledge about unstructured data analysis methodologies like NLP, NLG, etc.
Apply
Data Scientist- Strategic Data Solutions at AppleLocation(s): Austin, Texas Roles and Responsibilities: As an SDS data scientist, the candidate will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services. Qualifications:
The candidate should have practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection.
He/she should have a working knowledge of relational databases including SQL, and large-scale distributed systems such as Hadoop and Spark.
They should have the ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java.
Apply
Sr. Data Engineer, Data Solutions & Engineering, Security at AmazonLocation(s): London Qualifications:
The candidate should have a Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline.
He/she should have 8+ years of experience in data engineering, BI engineering, or a related field in architecting and developing end-to-end scalable data applications and data pipelines.
They should have 3+ years of coding experience with modern programming or scripting language.
Apply
Data Engineering Manager, Studio & Creative Production DSE at NetflixLocation(s): Los Gatos, California Roles and Responsibilities: As a data engineering manager, the candidate should achieve a consistently enjoyable experience for the company’s members through this process of a tall order. He/she should help visual effects teams deeply leverage data to inform their decision-making as they go about their tasks. They should help teams leverage data-driven methods such as reinforcement learning for artwork and video assets personalization and optimization methods for studio production workflows to drive better outcomes for the business. Qualifications:
The candidate should have been leading data engineering teams for 5+ years.
He/she should have a proven track record leading innovative, influential data engineering work in complex business domains.
They should be deeply invested in creating an inclusive team environment and helping each team members grow.
Apply
Data Scientist, Engineering at GoogleLocation(s): Mountain View-CA, Sunnyvale-CA, New York Qualifications:
The candidate should own a Master’s degree in a quantitative discipline.
He/she should have 2-years of experience in data analysis or a related field.
Experience with statistical software is mandatory.
New Opportunities: Top Deep Learning Jobs To Apply In Jan 2023
Deep learning jobs are preferred highly in terms of salary, growth, and exploration
After
Top Deep Learning Jobs to Apply For Edge AI Deep Learning Software Engineer at IntelLocations:
Bengaluru
Roles and Responsibilities:
As an edge AI deep learning software engineer at Intel, the candidate should conduct design and development to build and optimize deep learning software. He/she should implement various distributed algorithms such as model/data-parallel frameworks, parameter asynchronous data communication in deep learning frameworks. They should transform the computational graph representation of neural network model. The candidate should develop deep learning primitives in math libraries.
Qualifications:
Bachelor’s or Master’s degree in Engineering from a reputed institute is expected.
The candidate should have around 1-5 years of overall industry experience with at least 3-4 years of leading medium-sized teams.
Apply
Deep Learning Compiler Specialist at Qualcomm TechnologiesLocations:
Bengaluru
Roles and Responsibilities:
At Qualcomm Technologies, the deep learning compiler specialist will be working on researching and developing an in-house framework and also open-source compiler frameworks with TVM. He/she is responsible for optimizing the deep learning models from various frameworks like TensorFlow, PyTorch, Onnx, etc to Aderno, GPU. They should do researches to enhance the performance of these compiler frameworks by enhancing them with Qualcomm proprietary extensions. The candidate should be contributing to open-source communities.
Qualifications:
The candidate should possess Bachelor’s degree in engineering, information systems, computer science, or related fields.
He/she should have overall 3-years of software experience in software engineering, architecture, design, and implementation.
Experience developing embedded software is mandatory.
Knowledge of neural networks with hands-on experience using ML frameworks such as TensorFlow or PyTorch.
Apply
Technical Expert: Deep Learning & Collective Intelligence at Siemens LimitedLocations:
Bengaluru
Roles and Responsibilities:
As a technical expert at Siemens Limited, the candidate can move beyond theoretical models and build innovative, practical, and robust real-world solutions for computer vision-based applications in smart mobility, intelligent infrastructure, and autonomous systems. He/she should develop strategic concepts and engage in technical business development to address new markets with the company’s business units using video-analytics-based technologies. They should demonstrate the ability to drive innovation and research in the form of patents and publishing at top-tier conferences/journals.
Qualifications:
PhD/Master’s degree in computer science from a reputed institute is expected.
The candidate should have at least 8-years of work experience in solving complex problems and driving actionable insights.
He/she should have minimum of 6-years of experience working on image processing, computer vision, and video analytics problems with a clear understanding and ability to implement algorithms is also a must.
They should have hands-on experience using OpenCV and OpenGL.
Apply
Senior Systems Software Engineer- Deep Learning Accelerator at NVIDIALocations:
Bengaluru
Qualifications:
The candidate should own a BS or equivalent experience in EE/CS or a closely related field with 5+ years of experience.
He/she should have strong ability in C and C++.
They should be familiar with source control and deep learning.
Apply
Deep Learning Researcher (Lead) at SonyLocations:
Bengaluru
Roles and Responsibilities:
The deep learning researcher is expected to research and develop DL models from the ground up for new use cases, based on set business objectives. The candidate should identify datasets for the problem, data cleansing, analysis, and visualization. He/she should evaluate different machine learning algorithms to solve a given problem.
Qualifications:
The candidate should have 3-6 years of work experience.
Hands-on experience in developing deep learning models using CNNs, GANs, etc is expected.
He/she should have an in-depth understanding of deep learning concepts and working of CNNs including backpropagation.
Proficiency in Python programming language, machine learning frameworks like TensorFlow and Pytorch are a must.
After artificial intelligence came into existence, many sub-technologies started emerging. Machine learning and deep learning are two important branches of AI that are invading every industry and serving their purpose to the best. Deep learning is a subset of machine learning that helps in analyzing datasets to improve real-time decision-making. In particular, deep learning works with unstructured data and builds effective AI models. Owing to its increasing usage, deep learning jobs are also put under the spotlight. According to a report, deep learning jobs are preferred highly in terms of salary, growth, and exploration. If you are interested in handling data, have a special talent in automation and machine learning, then deep learning jobs are for you. By gaining deep learning knowledge, aspirants can apply it for a variety of professions like machine learning engineering, data scientists, business intelligence developers, etc. Analytics Insight has listed the top deep learning jobs that interested candidates should apply for in January 2023.Apply here for the role.Apply here for the job.Apply here for the job.Apply here for the job.Apply here for the job.
Placement Alert: Top Data Analytics Jobs Of The Year 2023 In India
Analytics Insight has selected the top Data Analytics jobs available in India for 2023.
The pandemic forcing everyone to work from home has not been able to hamper the data analyst’s job as it is highly connected with technology. Moreover, the gigantic rise of death and number of people affected by coronavirus has demanded
Data Analyst at BARC INDIABroadcast Audience Research Council (BARC) India is a joint-industry body founded by bodies that represent Broadcasters (IBF), Advertisers (ISA), and Advertising & Media Agencies (AAAI). It is also the world’s largest television measurement science industry-body. It uses Audio Watermarking Roles and responsibilities The person assigned with this job will have to prepare insights about upcoming trends and share them with management to help decision-making. He will drive automation to improve internal efficiencies. Self-enablement of end-user is required through compact and visualization of data and collaboration with the cross-functional teams has to done to drive quality projects. The applicator should have at least 2 to 4 Years of Experience. Skills He should have R /Python skills and be an expert in the MS office. He should also have a better understanding of Business Processes. Apply
Data Engineer Job at ImpetusImpetus is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities, and technology expertise. Required skills The applicator should have strong programming experience with Python OR Pyspark. One must have experience working with Relevant Experience The applicator should have 2-8 years of experience. Apply
Data Scientist Job at JioReliance Jio Infocomm Limited, doing business as Jio, is an Indian telecommunications company and a subsidiary of Role The company is looking for a self-driven Lead Data Scientist with a “Can-Do” and “Can-Share” attitude to accelerate solving the complex problems at the scale of India. Jio Big Data Lake is the central data hub inside Jio. This role will give a person the opportunity to work across a wide variety of technology domains. Responsibilities Skills required The applicator should have experience in NLP, Machine Learning, Deep learning, AI, Python, SQL/NoSQL Databases, Distributed Systems, and Cloud Native Micro Services. Qualifications The applicator must have 6 to 9 years of experience required in the Data Science field with a very good academic background. Work location Navi Mumbai, Bangalore, Hyderabad Apply
Business Intelligence Analyst at CognizantCognizant (Nasdaq-100: CTSH) is one of the world’s leading professional services companies, transforming clients’ business, operating, and technology models for the digital era. Its unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 194 on the Fortune 500 and is consistently listed among the most admired companies in the world. Business Skills The business intelligence analyst should have an understanding of trade life cycle events and front office to back-office system flows and should know about other financial data such as Balance Sheet, Risk-Weighted Assets, P&L, etc. One should possess working knowledge of data analysis, management, and governance concepts and tools. One must understand the contemporary requirement’s elicitation, analysis, specifications, verification, and management practices and have the ability to apply them in practice. One should have a familiarity with requirements engineering books and resources. Technical Skills The applicator should have proficiency with Excel, MS Word, MS Visio, and PowerPoint. He should possess basic SQL skills with the ability to extract and analyze large volumes of data using Oracle or Sybase databases. One should have experience in creating interface specification documents, attribute mapping documents, functional specifications. He must have experience of using JIRA, ALM Quality Centre (or equivalent tools). One should be familiar with creating Gliffy Diagram and Balsamiq Wireframes. Apply
Quantitative Analyst at BarclaysBarclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests, and protects money for customers and clients worldwide. Location Noida Responsibilities The applicator would have to provide development and implementation support to key treasury models, including driver-based models for projecting Barclay’s balance sheet. One would have to implement and design statistical projection model code within an IT infrastructure related to CCAR, IRRBB, and IFRS9 regulatory requirements and Treasury functions. One must handle the maintenance and design of the QA Asset & Liability Management quantitative library, ensuring an efficiently organized library and adherence to coding standards, regression testing, and continuous integration. This library supports quantification of Barclays funding and capital plans, forward-looking impairments, and pricing of liquidity and funding risk associated with the bank’s asset/liability profile. One should develop a statistical modeling library to support the quick and efficient determination of statistical models used in Barclays Treasury. Relevant Skills The applicator should have experience in delivering Python-based quantitative finance models. One must know about the statistical model development and implementation. One should have knowledge of relevant regulatory guidelines for CCAR, IFRS9, and IRRBB.
Top 10 Cryptocurrencies To Buy For The Long Haul In November
From
BitcoinCreated in 2009 by someone under the pseudonym Satoshi Nakamoto, Bitcoin is known as one of the oldest and popular cryptocurrencies for crypto investors in November 2023. As with most cryptocurrencies, BTC runs on a blockchain or a ledger logging transactions distributed across a network of thousands of computers. Bitcoin utilizes peer-to-peer technology to operate without any central bank authority, and it is on the top of the cryptocurrency market.
EthereumBoth a cryptocurrency and a blockchain platform, Ethereum is a favorite of program developers because of its potential applications, which makes it one of the top ten cryptocurrencies suitable for a long-haul crypto investment in November. Ethereum has experienced tremendous growth in the last few years, and it is also the second-largest cryptocurrency in the volatile market.
Binance CoinThe Binance Coin is a form of cryptocurrency that you can use to trade and pay fees on Binance that makes it one of the top ten cryptocurrencies for crypto investors to invest in for the long haul in November 2023. Since its launch in 2023, Binance Coin has expanded past merely facilitating trades on Binance’s exchange platform. This cryptocurrency is expected to boost the operation of the Binance Exchange with smart functionalities.
TetherUnlike some other forms of cryptocurrency, Tether is popularly known as the stable coin in the cryptocurrency market that is backed by fiat currencies like U.S. dollars and the Euro and hypothetically keeps a value equal to one of those denominations. Since its stability in the highly volatile market, crypto investors lean towards Tether to gain stability in the digital wallet.
CardanoCardano is notable for its early embrace of proof-of-stake validation, and it is expected in the cryptocurrency market that Cardano will rise with a strong market capitalization and an increase in the powerful value per coin in November 2023. This method expedites transaction time and decreases energy usage and environmental impact by removing the competitive, problem-solving aspect of transaction verification present in platforms like Bitcoin.
SolanaDeveloped to help power decentralized finance (DeFi) uses, decentralized apps (DApps), and smart contracts, Solana is a popular cryptocurrency for the long haul crypto investment in November owing to its support to 50,000 transactions per second with a block time of 400ms. Solana runs on a unique hybrid proof-of-stake and proof-of-history mechanisms that help it process transactions quickly and securely. It is known for gaining popularity in the last few years among crypto investors across the world.
XRPCreated by some of the same founders as Ripple, a digital technology and payment processing company, XRP is the seventh popular cryptocurrency in the cryptocurrency market after Bitcoin and Ethereum. This cryptocurrency can be used on that network to facilitate exchanges of different currency types, including fiat currencies and other major cryptocurrencies.
PolkadotBy creating a cryptocurrency network that connects the various blockchains so they can work together, Polkadot has positioned itself as one of the top ten cryptocurrencies suitable for crypto investment for the long haul in November 2023. This integration may change how cryptocurrencies are managed and have spurred impressive growth since Polkadot’s launch in 2023. The cryptocurrency token is popular among crypto investors to use for staking, bonding, and governance.
Shiba InuShiba Inu is one of the rising cryptocurrencies in the highly volatile cryptocurrency market. Created in mid-2023, Shiba Inu is one of the latest so-called “meme” coins to make it big. Siba Inu runs on the Ethereum network that can test resistance to US$0.000070 levels before a pullback.
DogecoinFrom Bitcoin and Ethereum to Cardano and XRP, there are thousands of cryptocurrencies available in the market today. The increased number of cryptocurrencies has made things overwhelming for investors, especially when you are stepping foot for the first time in the cryptocurrency world. To help you get your bearings, these are the top 10 cryptocurrencies to buy for the long haul in November 2023, with an opportunity to gain higher profit in the nearby future:Created in 2009 by someone under the pseudonym Satoshi Nakamoto, Bitcoin is known as one of the oldest and popular cryptocurrencies for crypto investors in November 2023. As with most cryptocurrencies, BTC runs on a blockchain or a ledger logging transactions distributed across a network of thousands of computers. Bitcoin utilizes peer-to-peer technology to operate without any central bank authority, and it is on the top of the cryptocurrency chúng tôi a cryptocurrency and a blockchain platform, Ethereum is a favorite of program developers because of its potential applications, which makes it one of the top ten cryptocurrencies suitable for a long-haul crypto investment in November. Ethereum has experienced tremendous growth in the last few years, and it is also the second-largest cryptocurrency in the volatile chúng tôi Binance Coin is a form of cryptocurrency that you can use to trade and pay fees on Binance that makes it one of the top ten cryptocurrencies for crypto investors to invest in for the long haul in November 2023. Since its launch in 2023, Binance Coin has expanded past merely facilitating trades on Binance’s exchange platform. This cryptocurrency is expected to boost the operation of the Binance Exchange with smart functionalities.Unlike some other forms of cryptocurrency, Tether is popularly known as the stable coin in the cryptocurrency market that is backed by fiat currencies like U.S. dollars and the Euro and hypothetically keeps a value equal to one of those denominations. Since its stability in the highly volatile market, crypto investors lean towards Tether to gain stability in the digital wallet.Cardano is notable for its early embrace of proof-of-stake validation, and it is expected in the cryptocurrency market that Cardano will rise with a strong market capitalization and an increase in the powerful value per coin in November 2023. This method expedites transaction time and decreases energy usage and environmental impact by removing the competitive, problem-solving aspect of transaction verification present in platforms like Bitcoin.Developed to help power decentralized finance (DeFi) uses, decentralized apps (DApps), and smart contracts, Solana is a popular cryptocurrency for the long haul crypto investment in November owing to its support to 50,000 transactions per second with a block time of 400ms. Solana runs on a unique hybrid proof-of-stake and proof-of-history mechanisms that help it process transactions quickly and securely. It is known for gaining popularity in the last few years among crypto investors across the world.Created by some of the same founders as Ripple, a digital technology and payment processing company, XRP is the seventh popular cryptocurrency in the cryptocurrency market after Bitcoin and Ethereum. This cryptocurrency can be used on that network to facilitate exchanges of different currency types, including fiat currencies and other major chúng tôi creating a cryptocurrency network that connects the various blockchains so they can work together, Polkadot has positioned itself as one of the top ten cryptocurrencies suitable for crypto investment for the long haul in November 2023. This integration may change how cryptocurrencies are managed and have spurred impressive growth since Polkadot’s launch in 2023. The cryptocurrency token is popular among crypto investors to use for staking, bonding, and governance.Shiba Inu is one of the rising cryptocurrencies in the highly volatile cryptocurrency market. Created in mid-2023, Shiba Inu is one of the latest so-called “meme” coins to make it big. Siba Inu runs on the Ethereum network that can test resistance to US$0.000070 levels before a pullback.Dogecoin has been a hot topic that was started as the famous internet meme in 2013, and now it is one of the top ten cryptocurrencies for long-haul crypto investment in November 2023. Dogecoin rapidly became a prominent cryptocurrency option, thanks to the Tesla owner, Elon Musk. Dogecoin is known as an inflationary coin due to its unlimited supply for crypto investors.
Top 10 Cybersecurity Conferences To Attend In November 2023
Here is the list of top 10 cybersecurity conferences everyone should attend in November 2023
Considering
CyberSecureDate: November 16-17, 2023 Location: Online CyberSecure, from MIT Technology Review, unpacks the evolving threat landscape, outlines the technologies and innovations involved in attack and defense, and provides the trusted insights and actionable strategies needed to protect your organization from cyberattack. Hear from expert speakers, participate in live programming and Q&A, and grow your professional network in an immersive, virtual format focused on the attendee experience.
DeepSec 2023Date: November 16-19, 2023 Location: Vienna, Austria DeepSec is a well-known IT Security conference bringing together the world’s most renowned security professionals from academics, government, industry, and the underground hacking community. It was established in 2007 and takes place every autumn in Vienna, Austria. This year’s theme is Doors & Corners.
Key Data Protection Strategies to Prevent Cyber AttacksDate: November 2, 2023 Location: Online The live Webinar being held is a joint presentation by a local Cyber Security company, Cybervision together with Security Specialists F-Secure and Data Management Professionals DMP-SA on the best practices to adopt a holistic data protection strategy to identify, protect, detect, respond and recover from ransomware and other cyberattacks.
Cyber Security for Financial Services Asia 2023Date: November 2, 2023 Location: Singapore
California Healthcare Cybersecurity Forum 2023Date: November 2, 2023 Location: Maharashtra, India California Cybersecurity Forum is designed to take a deeper dive into cybersecurity for the past participants who have requested more cybersecurity education opportunities. The participants will also have the opportunity to network and learn from their peers in healthcare, life sciences, and related organizations through interactive roundtable discussions, general sessions, individual presentations, and panel discussions.
Next Generation Cyber Security for Utilities Conference 2023Date: November 3, 2023 Location: Washinton DC, USA ACI’s Cyber Security for Utilities Conference will be taking place in Washington DC, the USA on 3rd & 4th November 2023. The two-day event will give you an in-depth insight into Cyber Security for the utility market, while also concentrating on key updates and future forecasts on the industry’s latest technology trends. By highlighting the sector’s current major challenges and opportunities, the conference will provide a holistic outlook on major market trends and drivers in the future.
Cyber Security ConventionDate: November 16, 2023 Location: Brussels, Belgium Avoiding cyber threats means, above all, keeping abreast of the latest developments in technology, services, methods and discovering the best service providers and experts that can support you in this challenging journey! This is essentially what the 2023 edition of the Cyber Security Convention is about: getting up to speed and learning from the best experts!
CyberConference – AISA MelbourneDate: November 15, 2023 Location: Melbourne, Australia The Australian Cyber Conference 2023 will provide business leaders with insights and best practices taught by the industry’s top experts through keynotes, panel sessions, and live demonstrations. Attending the conference will enable you to network with these practitioners to help you better understand and manage current threats, as well as identify and prepare to meet emerging challenges. An interactive format of workshops, plenary sessions, and the opportunity to network with expert practitioners in the field of cybersecurity is a must for all organizations in the current business environment.
Miami Cybersecurity ConferenceDate: November 9, 2023 Location: Miami, USA Since 1999, Data Connectors has facilitated collaboration between senior cybersecurity professionals, government/law enforcement agencies, industry luminaries, and solution providers. Today, the community comprises over 650,000 members and 250 active vendor partners across North America. Members enjoy informative education, networking, and support via our award-winning Virtual Summits, live conferences, Web Briefings, and regular communications.
California Summit + Cybersecurity Forum 2023Date: November 1, 2023 Location: Los Angeles, USA
Considering cybersecurity has now been one of the prime concerns of business, attending cybersecurity conferences can help you understand the space, exchange knowledge and learn about new threats and security trends. Fortunately, the industry comes up with great cybersecurity conferences that one can attend to keep their business within the boundaries of cybersecurity . Here is the list of the top 10 cybersecurity conferences everyone must attend in November 2023:Date: November 16-17, 2023 Location: Online CyberSecure, from MIT Technology Review, unpacks the evolving threat landscape, outlines the technologies and innovations involved in attack and defense, and provides the trusted insights and actionable strategies needed to protect your organization from cyberattack. Hear from expert speakers, participate in live programming and Q&A, and grow your professional network in an immersive, virtual format focused on the attendee experience.Date: November 16-19, 2023 Location: Vienna, Austria DeepSec is a well-known IT Security conference bringing together the world’s most renowned security professionals from academics, government, industry, and the underground hacking community. It was established in 2007 and takes place every autumn in Vienna, Austria. This year’s theme is Doors & Corners.Date: November 2, 2023 Location: Online The live Webinar being held is a joint presentation by a local Cyber Security company, Cybervision together with Security Specialists F-Secure and Data Management Professionals DMP-SA on the best practices to adopt a holistic data protection strategy to identify, protect, detect, respond and recover from ransomware and other cyberattacks.Date: November 2, 2023 Location: Singapore Cyber Security for Financial Services Asia Part II will shed light on the digital strategies needed to boost continuous innovation and ensure cyber resilience. Senior executives in the banking and financial services industry will share tactical insights and best practices on building strong cyber defenses, mitigating cyber threats and risks, as well as enabling financial systems security, data protection, and regulatory compliance.Date: November 2, 2023 Location: Maharashtra, India California Cybersecurity Forum is designed to take a deeper dive into cybersecurity for the past participants who have requested more cybersecurity education opportunities. The participants will also have the opportunity to network and learn from their peers in healthcare, life sciences, and related organizations through interactive roundtable discussions, general sessions, individual presentations, and panel discussions.Date: November 3, 2023 Location: Washinton DC, USA ACI’s Cyber Security for Utilities Conference will be taking place in Washington DC, the USA on 3rd & 4th November 2023. The two-day event will give you an in-depth insight into Cyber Security for the utility market, while also concentrating on key updates and future forecasts on the industry’s latest technology trends. By highlighting the sector’s current major challenges and opportunities, the conference will provide a holistic outlook on major market trends and drivers in the future.Date: November 16, 2023 Location: Brussels, Belgium Avoiding cyber threats means, above all, keeping abreast of the latest developments in technology, services, methods and discovering the best service providers and experts that can support you in this challenging journey! This is essentially what the 2023 edition of the Cyber Security Convention is about: getting up to speed and learning from the best experts!Date: November 15, 2023 Location: Melbourne, Australia The Australian Cyber Conference 2023 will provide business leaders with insights and best practices taught by the industry’s top experts through keynotes, panel sessions, and live demonstrations. Attending the conference will enable you to network with these practitioners to help you better understand and manage current threats, as well as identify and prepare to meet emerging challenges. An interactive format of workshops, plenary sessions, and the opportunity to network with expert practitioners in the field of cybersecurity is a must for all organizations in the current business environment.Date: November 9, 2023 Location: Miami, USA Since 1999, Data Connectors has facilitated collaboration between senior cybersecurity professionals, government/law enforcement agencies, industry luminaries, and solution providers. Today, the community comprises over 650,000 members and 250 active vendor partners across North America. Members enjoy informative education, networking, and support via our award-winning Virtual Summits, live conferences, Web Briefings, and regular communications.Date: November 1, 2023 Location: Los Angeles, USA The Healthcare Innovation Summit Series promote improvements in the quality, safety, and efficiency of healthcare by sharing best practices from organizations that are leading change by championing technology, innovation, and culture shifts in their institutions.
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