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Atos Unveils North American Google Cloud Artificial Intelligence Lab
Atos, a global leader in digital transformation, today launched its Google Cloud Artificial Intelligence (AI) Lab at its North American Headquarters in Irving, Texas, as part of a global partnership between Atos and Google Cloud to provide clients and businesses access to the latest analytics technologies.
The Dallas-area lab offers North American companies the ability to collaborate with Atos and Google Cloud during workshops to better understand artificial intelligence and to help define and design specific use cases using data analytics and machine learning algorithms to enable companies to meet their evolving business needs.
The Atos AI lab is a state-of-the-art facility that combines a digital experience with design thinking methodology to allow participants to problem solve and create in a format that works best for them.
To achieve this, real-world customer data is coupled with an Atos-specific methodology to allow the customer to understand the business problem and leave the Atos AI lab with a clear path on how to solve their challenges using big data and artificial intelligence tools.
Across the world, the group enables its customers, employees and collaborators, and members of societies at large to live, work and develop sustainably and confidently in the information technology space.
30 companies merging AI and cybersecurity to keep us safe and sound
By the year 2021, cybercrime losses will cost upwards of $6 trillion annually.
A new wave of AI-powered solutions and products keep bad actors on their toes while giving IT teams much needed relief. Here are 30 companies merging artificial intelligence and cybersecurity to make the virtual world safer.
Location: Seattle, Washington How it's using AI in cybersecurity: Versive helps businesses and organizations identify crucial threats, helping teams save time that might otherwise be spent investigating alerts that don’t require immediate attention.
The Versive Security Engine (VSE) uses artificial intelligence to separate critical risks from routine network activity, identifying chains of activities that result in attacks and helping security teams to get ahead of those attacks.
For organizations and businesses in need of cyber defense solutions, SparkCognition provides machine learning-powered products that detect and protect against malware, ransomware, trojans and other threats.
How it's using AI in cybersecurity: Cylance is an AI platform that helps to prevent threats before they can cause damage, predicting and protecting against file-less attacks, malware and zero-day payload execution. Cylance’s technology operates by profiling billions of file samples, appraising files for threats, dictating whether or not a threat exists and quarantining infected files.
By using artificial intelligence to connect millions of points at one time, White Ops predicts the presence of automated bot traffic and automatically blocks the traffic before it becomes dangerous to financial transactions or back-end infrastructure.
How it's using AI in cybersecurity: The TruU Identity Platform automatically monitors and analyzes transactions between the digital and physical world to determine security risks through a mixture of biometrics, interactions and behaviors.
Location: San Francisco, California How it's using AI in cybersecurity: With more than 30 offices around the world, Darktrace has helped thousands of companies in a variety of industries detect and fight cyber threats in real time.
AI is present in virtually every step of Cynet’s protection services, from using it to constantly scan for vulnerabilities and suspicious activities to its coordinated response efforts if a system were to be breached.
How it's using AI in cybersecurity: Sovereign Intelligence’s AI platform constantly investigates data and compares it against non-traditional data sources to give enterprises an early insight into vulnerabilities.
The company's multiple AI-based products work alongside human intelligence to detect more vulnerabilities and risks within applications, open-source software and other programs without returning false positives.
The detection platform analyzes sensor data using machine learning and behavior analytics to create a risk score for each user. The product features a comprehensive integration set, ensuring simple deployment for a variety of infrastructures.
Employing big data and machine learning, the company’s technology tracks user and account behaviors to understand what’s “normal.” Securonix solutions then detect threats and fraud while filtering out non-threatening user changes and behavior.
Location: Mountain View, California How it's using AI in cybersecurity: SentinelOne is a complete endpoint protection platform providing defense across multiple types of attack and throughout the entire threat lifecycle.
How it's using AI in cybersecurity: Shape Security provides software that fights imitation attacks like fake accounts, credential stuffing and credit application fraud for businesses in retail, finance, government, tech and travel.
Among its solutions are threat intelligence capabilities that give security teams greater visibility into attacks. FireEye’s threat intelligence technology provides more context and priority to attacks and helps proactively defend against future threats.
How it's using AI in cybersecurity: Symantec helps governments, civilians, businesses and organizations defend clouds, endpoints and infrastructures against threats. The company's intelligence solutions assist security teams in keeping up with emerging threats and implementing measures to defend against those threats.
By providing a single source of trust for identity, database administrators know who has access to what at all times, significantly speeding up the data breach prevention and containment process.
Lastline claims the tool can instantly pinpoint unusual traffic in a network — including Bitcoin mining, remote file execution and even brute force logins — to ensure safety companywide.
Make Artificial Intelligence Work for Your Business Needs
Enterprises spanning virtually all industries and markets are jumping onto the artificial intelligence bandwagon.
However, organizations don’t need to spend large amounts of time and money building their own AI tools to fix this problem, suggested Kevin McMahon, executive director of mobile and emerging technologies at digital tech consultancy SPR.
Tailored solutions To be effective, AI software must be tailored to address specific business problems, and this is where generic algorithms often fall short, said Sanjay Srivastava, chief digital officer at professional services firm Genpact.
'Having internal AI capability -– a combination of talent, platforms, tools, knowledge, relationship, and data -– offers the option of doing it internally versus outsourcing,' said Monika Wilczak, an advisory managing director in artificial intelligence at business services advisory EY.
Developers also need to pay close attention to business and human elements 'to not only build a successful prototype, but to ensure it can be operationalized in adherence with requirements to activate value realization.'
On the customer side, 'bilingual' staffers -- individuals fluent in both data science and industry needs and goals -- are the best people to train and fine tune algorithms to deliver maximum value, he observed.
'Supporting deployed AI solutions requires the use of diagnostics as well as data scientist intervention to ensure the performance and stability of machine learning data science models,' explained Nate Regimbal, senior manager, innovation and digital transformation, at professional services firm Grant Thornton.
What is business intelligence? Your guide to BI and why it matters
It’s important to note that this is a very modern definition of BI—and BI has had a strangled history as a buzzword.
It further developed in the 1980s alongside computer models for decision-making and turning data into insights before becoming specific offering from BI teams with IT-reliant service solutions.
Modern BI solutions prioritize flexible self-service analysis, governed data on trusted platforms, empowered business users, and speed to insight.
Much more than a specific “thing,” business intelligence is rather an umbrella term that covers the processes and methods of collecting, storing, and analyzing data from business operations or activities to optimize performance.
Used effectively, the right data can help with anything from compliance to hiring efforts.A few ways that business intelligence can help companies make smarter, data-driven decisions: Businesses and organizations have questions and goals.
To answer these questions and track performance against these goals, they gather the necessary data, analyze it, and determine which actions to take to reach their goals.
Data scientists dig into the specifics of data, using advanced statistics and predictive analytics to discover patterns and forecast future patterns.
Data analytics asks “Why did this happen and what can happen next?” Business intelligence takes those models and algorithms and breaks the results down into actionable language.
According to Gartner's IT glossary, “business analytics includes data mining, predictive analytics, applied analytics, and statistics.” In short, organizations conduct business analytics as part of their larger business intelligence strategy.
While IT departments are still an important part of managing access to data, multiple levels of users can customize dashboards and create reports on little notice.
Financial services firm Charles Schwab used business intelligence to see a comprehensive view of all of their branches across the United States to understand performance metrics and identify areas of opportunity.
There are many BI platforms available for ad hoc reporting, data visualization, and creating customized dashboards for multiple levels of users.
Visualizations compiled into dashboards can quickly tell a story and highlight trends or patterns that may not be discovered easily when manually analyzing the raw data.
Modern analytics platforms like Tableau help organizations address every step in the cycle of analytics—data preparation in Tableau Prep, analysis and discovery in Tableau Desktop, and sharing and governance in Tableau Server or Tableau Online.
Business intelligence is continually evolving according to business needs and technology, so each year, we identify current trends to keep users up-to-date on innovations.