This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Stratoshark fills this crucial gap by providing detailed system-level information thats essential for both security analysis and performance troubleshooting. When it comes time to troubleshoot and figure out root cause analysis, there is also a need to go down to the level of the single packet.
In a new report from Google's Threat Analysis Group, the researchers detail how commercial surveillance vendors particularly use spyware and target Google and Apple devices.
To understand current US consumer financial health, Principal Forecast Analyst Jitender Miglani analyzes key Q2 2024 Bureau of Economic Analysis (BEA) data.
CyberSeek is a data analysis and aggregation tool powered by a collaboration among Lightcast, a provider of global labor market data and analytics; NICE, a program of the National Institute of Standards and Technology focused on advancing cybersecurity education and workforce development; and IT certification and training group CompTIA.
Download this ebook to learn how to maintain a strategy that includes refreshed information, database cleanses, and an accurate analysis at the same time. Forward-thinking marketing organizations have continuously invested in a database strategy for enabling marketing processes.
CompTIA recently upgraded its PenTest+ certification program to educate professionals on cybersecurity penetration testing with training for artificial intelligence (AI), scanning and analysis, and vulnerability management, among other things.
Step 2: Understanding competitors Competitive analysis IT leaders must understand the competitive landscape to position their organization for success. Step 3: Current state analysis of IT IT landscape assessment IT leaders must evaluate their current technologies, processes, and capabilities.
The Zscaler ThreatLabz 2024 Encrypted Attacks Report examines this evolving threat landscape, based on a comprehensive analysis of billions of threats delivered over HTTPS and blocked by the Zscaler cloud. The full report offers: In-depth analysis: Detailed findings and case studies on how attackers are leveraging encryption.
Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations. This frees up valuable time for sellers to focus more on building relationships and closing deals.
The idea is to use AI’s information gathering and sorting capabilities to help customers do more effective searching and analysis of threats, the vendor stated. The vendor also added FortiAI to its Lacework FortiCNAPP package.
Comparative analysis of Azure management platforms Azure is one of the most widely adopted cloud platforms. Automated enforcement of compliance policies through tools like Azure Policy ensures that the entire Azure environment adheres to industry regulations and internal governance standards.
Nvidia has included two blueprints in the collection to start: one that turns PDFs into podcasts and another for video analysis. Nemotron comes in two components, Llama Nemotron for text processing and Cosmos Nemotron for image analysis. The blueprints come from Nvidia and its partners.
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer.
The warning comes after Roth did an analysis of stolen FortiGate device configuration data released earlier this month by a threat actor calling itself the Belsen Group. If you take security seriously, you must run a compromise assessment to check whether the device and other systems in your network have already been breached.
FortiAppSec Cloud uses machine learning and AI technology to bolster application behavioral analysis and identify attack patterns across customer web application with the idea to defend those applications from thefts and other intrusions.
It affects the efficiency of the labor market, increases costs for candidates, and complicates the analysis of data by researchers and policy makers. He deployed the LLM BERT model supported by an advanced NLP algorithm to conduct deep linguistic analysis on jobseekers’ posts about their interviewing experiences. Enter Ghost Jobs.”
With real-time analysis and enriched intelligence, Copilots help teams visualize app, user, and threat activities, providing full context for incidents. Autonomous solutions can reduce friction in workflows, including everything from threat detection to system configuration and data analysis.
Without establishing Software Composition Analysis best practices and the ability to produce a Software Bill of Materials, companies are most likely leaving a gaping hole in their software supply chain for bad actors to slip in and take advantage of vulnerabilities.
Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis. It includes data collection, refinement, storage, analysis, and delivery. Establish a common vocabulary. Curate the data. Cloud storage. Data streaming. Data integrity.
At a client in the high-end furniture sales industry, we were initially exploring LLMs for analyzing customer surveys to perform sentiment analysis and adjust product sales accordingly. Think sentiment analysis of customer reviews, summarizing lengthy documents or extracting information from medical records.
Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data. Felix AI adds velocity to our analysis processes…giving us more time to focus on tasks that matter and listen better to our customers” – Gabriel Polo, Head of Online Platform, Air Europa.
Today, were excited to announce that we have released three new pieces of research about this round of evaluations: Analysis Of The 2024 MITRE Engenuity ATT&CK Evaluation an […] At that time, we published a blog with a quick overview of the results.
Speaker: Scott Stephenson, Co-Founder, CEO Deepgram
Real-time speech transcription, analysis, and enablement are now a reality. Post-call analysis and selective call auditing has brought you more information and insights on your customers, but what can you do with real-time transcriptions for all your calls?
The AI Renewals Agent gathers data from more than 50 different sources of structured and unstructured data and then offers real-time sentiment analysis, intelligent automation, and personalized recommendations tied to customer outcomes and key performance indicators (KPIs).
The power of modern data management Modern data management integrates the technologies, governance frameworks, and business processes needed to ensure the safety and security of data from collection to storage and analysis. It enables organizations to efficiently derive real-time insights for effective strategic decision-making.
For day 2, AI can be used to allocate resources, identify and quickly address (and predict) problems in the network, centralize problem identification, automate recommendation and response, resolve lower-level support issues and reduce trouble ticket false positives through confirm-reject analysis, among other capabilities.
However, deeper analysis using FARM (Field-Accessible Reliability Metrics) values exposed the true operational history of these drives. This third party should not only certify products based on documentation and lab tests but also conduct its own forensic analysis.
you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement. This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E
According to the study, the biggest focus in the next three years will be on AI-supported data analysis, followed by the use of gen AI for internal use. Even beyond customer contact, bankers see generative AI as a key transformative technology for their company.
Going forward, she said, knowledge of machine learning, data analysis, and model training and engineering will be critical, as will skills around cybersecurity, automation technologies, cloud development, IT service management (ITSM), DevSecOps, and IT ops.
The second product, NetBox Assurance, takes on the challenge of operational drift by providing continuous monitoring and analysis of network configurations. Observe the network in the same way for ongoing understanding of the operational state of the network.
FortiAI identifies the threats that need analysis from the data collected by FortiAnalyzer, primarily collected from FortiGates. The package also now integrates with FortiAI, the vendors genAI assistant, to better support analytics and telemetry to help security teams speed threat investigation and response, the vendor stated.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Extending analysis-ready data to all of your business stakeholders at scale. Leveraging metadata (labels, annotations) for deep dimensional analysis. In this webinar, you will learn about: Blending various high quality third-party datasets with internal data.
The DOJ analysis of the market is fundamentally flawed. Then theres the matter of HPEs proposed $14 billion buy of Juniper Networks that is now being held up by the U.S. Justice Department. A trial has been set for July 9, Neri said.
A new AI-powered analytics tool offers Server SSD Predictive Failure Analysis (PFA) to catch potential storage drive failure before it happens. New integrated Enterprise Remote Control enables remote access and management of enterprise infrastructure no matter where it exists. The ThinkSystem V4 family ships March 17.
Augmented analytics got its name from the addition of AI -- augmenting human data analysis. Generative AI ushers in the era of conversational analytics.
Why contextual analytics is a game-changer for deeper insights and analysis This whitepaper will help you understand: What contextual analytics can do to elevate the value of your application. How contextual analytics fuses user workflow and analytics together for seamless BI.
The variety of questions from open-ended to multiple-choice tasks provides a detailed analysis of domain-specific abilities. With nearly 1400 dialogs covering topics such as math, writing, role-playing, and logical reasoning, the benchmark provides a comprehensive analysis of dialog capabilities.
Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Tableau Tableau is a popular software platform used for data analysis to help organizations make better data-driven decisions.
Offering value-added services on top of data, like analysis and consulting, can further enhance the appeal. To succeed, they need to make their data products appealing by understanding customer needs, ensuring products are current, of a high-quality, and organized.
Zia is a fully-trained analytics assistant that can perform a range of functions such as creating and adding reports to dashboards, providing conversational support to data analysis, insight discovery, building forecasting models, identifying hidden correlations among data points, and more.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content