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govindhtech · 18 days
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How IBM’s Smarter Balanced Is Governing Education AI
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Smarter Balanced Assessment Consortium
The Smarter Balanced Assessment Consortium, a member-led public organization with headquarters in California, offers assessment tools to teachers in K–12 and higher education. Founded in 2010, the business creates creative, standards-aligned test assessment systems in collaboration with state education organizations. In order to assist educators in identifying learning opportunities and enhancing student learning, Smarter Balanced provides them with lessons, tools, and resources, such as formative, interim, and summative assessments.
In the constantly evolving field of education, Smarter Balanced is dedicated to progress and creativity. The objective is to investigate a systematic methodology for utilizing artificial intelligence (AI) in educational assessments in conjunction with IBM Consulting. The partnership is still in place as of early 2024.
Specifying the difficulty
Standardized exams and structured quizzes, which are common K–12 skill evaluations, are criticized for a number of equity-related reasons. AI has the revolutionary potential to improve assessment fairness across student populations, including marginalized groups, by providing individualized learning and assessment experiences when used responsibly. Therefore, defining what responsible AI adoption and governance in a school setting looks like is the main difficulty.
Educators, professionals in artificial intelligence, ethics and policy surrounding AI, and specialists in educational measurement made up the first multidisciplinary advisory group established by Smarter Balanced and IBM Consulting. The panel’s objective is to create guiding principles for integrating justice and accuracy into the application of AI to learning materials and educational measurement. Below is a summary of some of the advisory panel’s factors.
Considering human needs when designing
Organizations can create a human-centric strategy for implementing technology by utilizing design thinking frameworks. Design thinking is driven by three human-centered principles: a focus on user outcomes, restless reinvention, and team empowerment for diversity. Stakeholders’ strategic alignment and responsiveness to both functional and non-functional organizational governance requirements are enhanced by this approach. Developers and other stakeholders can generate creative solutions, prototype iteratively, and gain a thorough understanding of user demands by applying design thinking.
This methodology is critical for early risk identification and assessment during the development process, as well as for enabling the development of reliable and efficient AI models. Design thinking aids in the development of AI solutions that are mathematically sound, socially conscious, and human-centered by consistently interacting with various communities of domain experts and other stakeholders and taking their input into consideration.
Including Diversity
A varied group of subject-matter experts and thought leaders were assembled by the merged teams to form a think tank for the Smarter Balanced initiative. Experts in the domains of law and educational evaluation, as well as neurodivergent individuals, students, and those with accessibility issues, made up this group.
The think tank aims to iteratively, rather than one-time, integrate its members’ experiences, opinions, and areas of expertise into the governance framework. A fundamental tenet of IBM’s AI ethics is reflected in the strategy: artificial intelligence should supplement human intelligence, not replace it. Incorporating continuous feedback, assessment, and examination by a range of stakeholders can enhance the development of trust and facilitate fair results, ultimately resulting in an educational setting that is more comprehensive and productive.
In grade school settings, these approaches are essential for developing equitable and successful educational assessments. Building AI models that are reflective of all students requires the many perspectives, experiences, and cultural insights that diverse teams bring to the table. Because of its inclusivity, AI systems are less likely to unintentionally reinforce existing disparities or fail to take into account the particular demands of various demographic groups. This highlights another important AI ethical tenet at IBM: diversity in AI is important since it’s about math, not opinion.
Examining beliefs that are focused on the student
Determining the human values IBM want to see represented in AI models was one of the first projects that IBM Consulting and Smarter Balanced performed together. IBM arrived at a set of principles and criteria that correspond to IBM’s AI pillars, or essential characteristics for reliable AI, as this is not a novel ethical dilemma.
Explainability: The capacity to provide results and functions that don’t require technical explanation
Fairness: Handling individuals equally
Robustness: security, dependability, and ability to withstand hostile attacks
Openness: Sharing information about the use, functionality, and data of AI
Data privacy: revealing and defending users’ rights to their privacy and data
It is difficult to put these ideas into practice in any kind of organization. Even higher standards apply to an organization that evaluates pupils’ skill sets. Nonetheless, the work is valuable due to the potential advantages of AI. The second phase is now in progress and involves investigating and defining the values that will direct the use of AI to the assessment of young learners.
The teams are debating the following questions:
What morally-based guidelines are required to properly develop these skills?
Who should be in charge of operationalizing and governing them?
What guidance should practitioners providing these models with follow?
What are the essential needs, both functional and non-functional, and what is the required strength?
Investigating varying impact and levels of affect
IBM used the Layers of Effect design thinking framework for this activity. IBM Design for AI has donated numerous frameworks to the open source community Design Ethically. Stakeholders are asked to think about the primary, secondary, and tertiary implications of their experiences or goods using the Layers of Effect framework.
The intended and known impacts of the product in this case, an AI model are referred to as primary effects. One of the main functions of a social media platform, for instance, could be to link people with shared interests.
Although less deliberate, secondary impacts can swiftly gain importance among stakeholders. Using social media as an example, the platform’s value to advertisers may have a secondary effect.
Unintentional or unexpected consequences that show up gradually are known as tertiary effects. An example of this would be a social media platform’s propensity to provide more views to messages that are insulting or misleading.
The main (desired) consequence of the AI-enhanced test assessment system for this use case is a more effective, representative, and equitable tool that raises learning outcomes throughout the educational system.
Increasing efficiency and obtaining pertinent data to aid in more effective resource allocation where it is most required are possible secondary benefits.
Unintentional and possibly recognized tertiary effects exist. Stakeholders need to investigate what would constitute unintentional harm at this point.
The groups determined that there could be five types of serious harm:
Detrimental prejudice concerns that fail to take into account or assist pupils from marginalized groups who might require additional resources and viewpoints to meet their varied needs.
Problems with personally identifiable information (PII) and cybersecurity in educational systems where insufficient protocols are in place for their networks and devices.
Insufficient governance and regulations to guarantee AI models maintain their intended behaviors.
Inadequate communication regarding the planned usage of AI systems in schools with parents, students, instructors, and administrative staff. These messages ought to outline agency, like how to opt out, and safeguards against improper usage.
Restricted off-campus connectivity that could limit people’s access to technology and the use of AI that follows, especially in rural locations.
Disparate impact evaluations, which were first used in court cases, assist organizations in identifying possible biases. These evaluations look at how people from protected classes those who are vulnerable to discrimination on the basis of gender, ethnicity, religion, or other characteristics can be disproportionately impacted by policies and practices that appear to be neutral. These evaluations have shown to be useful in the formulation of employment, financing, and healthcare policies. IBM tried to take into account cohorts of students in their education use case who might, because of their circumstances, receive unequal results from tests.
The following were the categories found to be most vulnerable to possible harm:
People who experience mental health issues
People from a wider range of socioeconomic backgrounds, including those without a place to live
Individuals whose mother tongue is not English
Those with additional non-linguistic cultural factors
People with accessibility concerns or those who are neurodivergent
IBM group’s next series of exercises is to investigate ways to lessen these harms by utilizing additional design thinking frameworks, like ethical hacking. IBM will also go over the minimal specifications that companies looking to integrate AI into student assessments must meet.
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pathbend-blog · 2 months
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alifbeytech · 3 years
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How does quantum computing works and what does it mean for the future of cybersecurity?
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agxindia · 3 years
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Happy #itprofessionals day! @dell @ibmconsulting
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#itprofessionalday2021 #it #agx #looknofurther
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govindhtech · 2 months
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Connect360 IBM: Revolutionizing Collaborative Workspaces
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Changing how the community receives social services: IBM and Microsoft’s cooperative strategy
Connect360 IBM
In a time when economic expansion and technical breakthroughs are frequently heralded as signs of success, it is critical to take a moment to consider the underlying social issues that these developments frequently ignore. and to think about how they can be applied to actually enhance humankind’s situation.
In response, government authorities, IBM Consulting, and Microsoft are working together to create a platform that will improve the provision of social services to underserved communities and bridge the gap.
Their common goal
Community challenges including violence, mental health, food insecurity, homelessness, and juvenile justice arise daily. Many government agencies are using transformative approaches to create a society where everyone gets the resources and support they need. Consider the government officials who are implementing the “Care First” approach. The goal of this strategy is to divert thousands of people from the criminal justice system and place them in helpful programs designed to meet their requirements for “re-entry into society.” These initiatives support local communities by providing housing, transportation, access to drug rehab centres, and other necessary services.
Some creative leaders are committed to improving maternal health, reducing violence, and preparing young people in transition for success. In order to integrate social services across health, education, and other crucial sectors, a larger percentage of leaders are adopting a whole-person care strategy and concentrating on the community as a whole rather than on particular groups.
Announcing Connect360 IBM
While a plethora of diverse services and initiatives are accessible to several government organisations worldwide. They are unable to provide these systems’ power to the communities and individuals who actually need it, though. Users frequently have to work with individual systems and services since the underlying data, technology, and delivery models were designed in silos.
Connect360 IBM enables the delivery of integrated social services, converts data into useful information, and encourages cooperation across agencies. The five main objectives of this solution are as follows:
Establish an electronic information exchange system to facilitate cooperation.
Increased public access to resources and services through information sharing
Enable the public to actively participate in the selection and provision of services.
Boost your ability to make decisions by integrating data and using business analytics.
Improve the area’s interoperability to access community data.
A software called Connect360 IBM allows data from different systems inside social services agencies to be effortlessly integrated. The purpose of this capability is to conform various data sources to the HSDS (Human Services Data Specification) and HL7 FHIR (Fast Healthcare Interoperability Resources) standards. This is to ensure that data is easily accessible, standardised, and protected.
In order to provide continuity and coordination of treatment for those in need, Connect360 IBM also enables interoperability of health-related data with a variety of healthcare systems by complying to the HL7 FHIR standard.
This transformation allows for easy connectivity with other apps in addition to making the data easily accessible within Connect360 IBM . Service providers can then share and update information to help those who depend on these essential services in a coordinated and efficient manner.
The amount of isolation, security, performance, scale, and dependability needed to manage sensitive workloads across a wide range of particular requirements is provided by Connect360 IBM , which is hosted on Microsoft Azure. Future improvements to Connect360 IBM will be built upon the foundation laid by IBM and Microsoft’s commitment to advancing responsible, secure, and trustworthy AI.
Changing lives using Microsoft Azure and IBM Connect360
A wide range of initiatives from several ministries, including housing, justice, mental health, social services, and health, are included in the category of social services. Their common goal is to assist people with complicated needs.
Interdepartmental cooperation is necessary to meet these objectives and improve client results. The involvement of Community-Based Organisations (CBOs) and Communication Service Providers (CSPs) via the departments’ network is another important element in attaining improved results. Departments are accountable for providing a common resource repository that their partners can use to deliver services, in addition to directly providing services.
Support for the operational model in use is provided by Connect360 IBM . The basic systems and APIs in this paradigm are provided by the government agency, and they allow access to the core systems almost instantly. Through the use of these APIs, different business applications from different departments can communicate with one another.
Every participant in this model concentrates on their primary competencies: While CSPs and CBOs can develop client-facing, service-oriented apps, the agency handles data management, sets business rules, assures compliance, and assesses performance. This strategy makes effective use of the agency’s current resources to enable the quick implementation of new healthcare and public assistance initiatives. Throughout the launch phase, the ecosystem cooperates to guarantee that clients receive services on time and without any interruptions.
“They at IBM recognise the value of efficient coordination and communication amongst government agencies,” stated Cristina Caballe Fuguet, Vice President of IBM Consulting’s Global Public Sector. Government organisations may communicate with the public, exchange information, and get input in a safe and expandable setting with Connect360 IBM. They take great pride in the way Connect360 IBM and Microsoft Azure are assisting governments everywhere in providing better services to their inhabitants and constructing more robust and resilient communities.
Case Study: How is the life of a single citizen being changed by IBM Connect 360?
Let’s look at the made-up tale of Michael, a soldier who was having difficulty adjusting to civilian life. He struggled with PTSD, mental health problems, and substance misuse before becoming imprisoned in a cycle of homelessness. How did he benefit from IBM Connect 360?
Michael created his Connect360 IBM account with the assistance of a care coordinator. After he gave details about his situation, Connect360 IBM evaluated his requirements and made recommendations that were specifically suited for him. These suggestions included services like short-term housing, drug rehab, mental health assistance, transportation, skill development, and eventually assisted him in locating employment.
Michael became more self-assured and self-sufficient with every step. He made good use of the suggested resources, took comfort in his caring network of carers, and piece by piece, he rebuilt his life. In his quest for stability, the technological answer served as more than simply a roadmap it was a continuous companion.
This story goes beyond simply one man’s journey to stability; it demonstrates how effective tools and a caring support system can actually improve a person’s life. Michael’s case serves as evidence of both the effectiveness of empathetic intervention and the prospective uses of technology in social support networks. A brighter future is not just a fantasy but a probable reality with the correct resources and assistance. Change is always possible. These results may be achieved at scale when governments, communities, Microsoft, IBM Consulting, and others work together.
Firsthand experience the transforming power
With the help of Microsoft Azure, Connect360 IBM, and the IBM Community Health user interface, this formidable solution has the ability to significantly improve people’s lives. This all-inclusive, public platform is intended to facilitate service delivery at every level. From identifying and coordinating with the service providers that can best meet an individual’s needs to accurately measuring the treatment and results received.
Angela Heise, Corporate Vice President, Worldwide Public Sector at Microsoft, stated, “IBM Connect360 ensures that every aspect of community service delivery is enhanced, fostering a more connected, efficient, and impactful system.” “They are eager to advance the solution and maintain their strategic partnership with IBM Consulting.”
This platform stands out for its ability to serve a broad spectrum of stakeholders. Community people, care coordinators, service navigators, service providers, and government officials will all find great value in its capabilities.
They advise you to personally witness the transformational potential of this solution. Make an appointment for a customised demo with your IBM Consulting and Microsoft experts to see how this solution may be adjusted to fit your particular needs and specifications.
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pathbend-blog · 3 months
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Then What Dr. Mütti?
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elmeasureindia · 7 years
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govindhtech · 7 months
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Top 6 Ecommerce Trends for 2024 and beyond
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Ecommerce has developed dramatically in the previous decade. New business structures and ecommerce trends have complicated the environment. During the COVID-19 epidemic, digital usage increased worldwide. Some estimates put internet shopping at 50% of retail sales by next year.
However, many organizations realized that increasing their internet presence or focus didn’t ensure success. McKinsey calls this “the e-commerce catch-22,” since many merchants with strong ecommerce sales growth in 2020 and 2021 saw margins fall.
Due to market saturation, electronics and home goods retailers increasingly compete internationally with tiny online businesses like Amazon. This may drive companies to lower prices to compete.
New markets may complicate shipping and logistics and disrupt global supply chains. Since they’re used to same-day delivery and tailored items, consumers anticipate a unified digital shopping experience. They intend to utilize their preferred payment method. These clients increasingly want free delivery and reward schemes. Businesses must also focus on sustainability to reach digital natives like Gen Z.
Businesses must be innovative about their digital strategy and how to build dynamic, interactive shopping experiences that increase consumer interactions in the ever-changing, fast developing ecommerce environment. Here are some ecommerce trends that will effect the global USD 3.3 trillion industry and improve customers’ digital experiences as consumers change how they buy products and services:
Artificial intelligence
Augmented reality
Live commerce
Online-to-offline ecommerce
Collective commerce
The voice helpers
Artificial intelligence trend
AI has greatly impacted digital commerce and is regarded as the fourth industrial revolution. Customers now demand personalized purchasing experiences. Digital optimization and automation solutions make using consumer or third-party data to create intelligent ecommerce sites cheaper and simpler. If used properly, AI-enabled marketing and product discovery technologies improve consumer engagement and retention.
Personalization
To provide individualized product suggestions and shopping experiences, AI systems can evaluate massive quantities of user data, including browsing history, purchase behavior, and demographics. AI-based customization recommends products, reminds consumers to reorder, and customizes shopping experiences. These tailored shopping experiences may be used on product sites, email marketing, and checkout.
Dynamic pricing
Dynamic pricing, popularized by ride-share firms but increasingly utilized elsewhere, lets shops modify rates in real time depending on demand, inventory, and rival pricing. Dynamic pricing may help certain ecommerce firms optimize income while staying competitive, but the AI’s settings must be carefully selected to prevent ridiculous price structures that may repel new consumers.
Virtual assistants, chatbots
Gartner predicts that by 2027, 25% of firms would use chatbots to provide customized customer assistance in natural language, answer inquiries, and resolve consumer problems in real time. To create a positive online purchasing experience, conversational AI-assisted customer service and its managers must work together, according to some academics.
Find and discover
Machine learning algorithms let AI-powered search and recommendation engines understand user intent, increase search relevancy, and identify products. To help buyers locate the right product by pattern or style, many retailers are using third-party AI to simplify natural language product searches.
Technology-based ecommerce firms have also emerged from the AI revolution. Many subscription-based ecommerce firms like Blue Apron and BarkBox have grown over 1,000%. AI and advanced analytics help direct-to-consumer subscription companies choose products.
Augmented reality trend
AR and VR technology allow marketers to improve digital experiences and integrate digital touchpoints into conventional purchase channels. Consumers may minimize uncertainty and return rates by “trying it out” in their living room for purchases that are significantly reliant on environmental context, such as a new sofa. AR and VR may improve customer experiences in travel, hospitality, and consumer retail by providing the finest product previews before purchase.
Product visualizations improved
A vivid and immersive product preview is one of the main advantages of integrating AR and VR into ecommerce. Industries where customers make significant, contextually sensitive purchases might benefit from this feature. Several real estate businesses have tried remote property viewing technology. Recently, IKEA launched a successful AR smartphone app that lets shoppers explore its products in their homes.
Virtual try-ons
Properly designed virtual try-on experiences may alter fashion and beauty. This technology lets consumers remotely try on clothes, accessories, and cosmetics via cellphones or webcams. Some optical stores let customers “try on” glasses online. Sephora’s real-time cosmetics app is very successful.
Live-commerce trend
Live commerce started in China. Within six years after its 2016 launch, the sector was expected to generate USD 647 billion. The US market is still growing, expected to generate USD 32 billion by 2023.
Live commerce events allow consumers to connect with a host via livestream while buying things with digital wallets. Alibaba pioneered the sales strategy, which TikTok, Amazon, and Poshmark have emulated. Influencers or celebrities may promote items during shopping events, encouraging customers to speak about and buy them. Live commerce lets firms promote discounts and builds community around an event.
Online-to-offline ecommerce trend
Many online-to-offline (O2O) ecommerce solutions seamlessly combine digital channels with physical retail experiences, offering a comprehensive consumer journey across both channels. Though contradictory, several internet merchants prioritize luring consumers back to purchasing in-store. Offer chosen experiences in physical places to build client loyalty and find new markets.
Amazon bought Whole Foods and combined in-store food purchasing with its digital environment. From China’s Alibaba to Magnolia Market, a direct-to-consumer furniture brand, several other companies have launched physical storefronts based on their internet sites.
Online-to-offline ecommerce projects include:
Omnichannel purchasing involves ordering online and picking up in-store.
Furniture showrooms for online orders and home delivery
QR codes or bar codes for in-store product information
Social-commerce trend
Between 2021 and 2025, social commerce ecommerce that uses social media as a marketing tool and shopping destination is anticipated to rise by over 50%. It’s a prominent ecommerce trend that’s predicted to earn USD 1.2 trillion by 2025 and features mobile shopping like live commerce.
Organizations may utilize social media to promote product discovery, social buying, and consumer involvement. Facebook, Instagram, and TikTok have integrated social commerce to make it easier.
Seamless social media buying experiences use social behaviors to shorten the purchasing process and boost conversion rates. Social recommendation and discovery help shoppers identify relevant items. Social commerce firms often collaborate with influencers or leverage user-generated content to reach their audience. Clinique has engaged younger audiences with smart social media marketing and social commerce.
In trend: Voice assistants
Smart speakers and speech assistants simplify online purchasing and customer relations. This technique utilizes AI to search for items and submit orders using multiple payment options. Use voice commands to monitor shipments and obtain unique suggestions.
Voice search-assisted ecommerce makes purchasing easier for multitasking online customers and makes conventional interfaces more accessible. Grocery and home goods stores may benefit from voice ordering’s simplicity. For years, firms have been generating speech search-friendly product descriptions and back-end voice assistant solutions. Dominos has had a smartphone app for ordering pizza since 2017.
The future of ecommerce
Ecommerce is growing internationally, thus new digital commerce formats are sprouting quickly. China, which accounts for more than half of global digital retail sales, has developed social commerce and live commerce rapidly. Live commerce in China went from an emerging invention to a channel where two-thirds of people purchased a product in a year in less than five years.
Most companies now need more than just PayPal hookups or listing things from their brick-and-mortar shop on an ecommerce platform. The IBM Institute for Business Value found that 14% of 20,000 customers in 26 countries were happy with internet purchasing. Innovation is needed to make ecommerce enjoyable.
IBM and ecommerce trends
Trade is difficult. Business consultancy thrives on powerful ecommerce and AI-driven omnichannel commerce. IBM iX provides digital strategy, design, implementation, integration, and operations consultancy and world-class ecosystem connections.
IBM Consulting professionals help organizations achieve their objectives by using data, AI, best ecommerce practices, and the open-source IBM iX Experience Orchestrator. You get insight-led, outcomes-driven client experiences that establish trust and boost your company’ relevance.
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govindhtech · 7 months
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IBM X-Force Drops Ransomware, InfoStealers, AI Threats Rise
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IBM Report: 2024 X-Force Threat Intelligence Index
IBM today unveiled the 2024 X-Force Threat Intelligence Index, which underscores a growing global identity crisis as cybercriminals intensify their efforts to compromise businesses globally by using user identities. In 2023, cybercriminals saw more opportunities to “log in” rather than hack into corporate networks through legitimate accounts, making this approach a preferred weapon of choice for threat actors, according to IBM X-Force, IBM Consulting’s offensive and defensive security services arm.
Based on observations and insights from tracking more than 150 billion security events daily across more than 130 countries, the X-Force Threat Intelligence Index was created. Furthermore, information is collected and examined from various IBM sources, such as IBM Managed Security Services, Incident Response, X-Force Red, IBM X-Force Threat Intelligence, and data from Red Hat Insights and Intezer, which were included in the 2024 report.
Among the principal points of emphasis are:
Critical infrastructure attacks expose industry “faux pas.” Patching, multi-factor authentication, and least-privilege principles could have prevented compromise in nearly 85% of attacks on critical sectors. This suggests that achieving what the security industry has historically referred to as “basic security” may be more difficult than previously thought.
Groups that use ransomware change to a more economical strategy. Enterprise ransomware attacks decreased by almost 12% in the previous year as larger organizations chose to rebuild their infrastructure rather than pay and decrypt the ransomware. Groups that had previously focused on ransomware were seen to shift to info stealers, as this increasing backlash is expected to affect adversaries’ revenue expectations from encryption-based extortion.
Attacks against generative AI don’t yet yield a return. According to X-Force analysis, at-scale attacks against these platforms may occur when a single generative AI technology approaches 50% of the market or when the market consolidates into three or fewer technologies.
Charles Henderson, Global Managing Partner, IBM Consulting, and Head of IBM X-Force, stated, “While security fundamentals’ doesn’t get as many head turns as ‘AI-engineered attacks,’ it remains that enterprises’ biggest security problem boils down to the basic and known – not the novel and unknown.” “Identity is being used against enterprises time and time again, a problem that will worsen as adversaries invest in AI to optimize the tactic.”
IBM X-force threat intelligence
Cybercriminals now find it easiest to exploit legitimate accounts because there are billions of compromised credentials available on the Dark Web. According to X-Force, info stealing malware increased 266% in 2023 as actors sought user identities. From social media and messaging apps, this malware steals emails, banking information, cryptocurrency wallet data, and credentials.
Because it is more difficult to identify, this “easy entry” for attackers prompts an expensive response from businesses. X-Force reports that major incidents resulting from attackers using legitimate accounts required security teams to implement nearly 200% more complex response measures than the average incident. This was because defenders had to discern between malicious and legitimate user activity on the network. According to IBM’s 2023 Cost of a Data Breach Report, breaches resulting from compromised or stolen credentials took an average of 11 months to identify and resolve, making it the infection vector with the longest response lifecycle.
This extensive surveillance of users’ online behavior was made clear when the FBI and European law enforcement took down a global cybercrime forum in April 2023, gathering the login credentials of over 80 million accounts. Threats based on identity will probably keep increasing as long as enemies use generative AI to make their attacks more effective. X-Force has already seen over 800,000 posts on GPT and AI in Dark Web forums in 2023, confirming that cybercriminals are interested in and aware of these developments.
Attackers “Log into” Networks of Critical Infrastructure
Critical infrastructure organizations were the target of nearly 70% of attacks that X-Force responded to globally. This is a concerning finding that shows that cybercriminals are betting on these high-value targets’ need for uptime to achieve their goals.
Phishing emails, the use of legitimate accounts, and the exploitation of public-facing applications were the causes of nearly 85% of the attacks that X-Force responded to in this sector.  With DHS CISA reporting that most successful attacks on government agencies, critical infrastructure organizations, and state-level government bodies in 2022 involved the use of legitimate accounts, the latter presents a higher risk to the industry. This emphasizes how important it is for these companies to create incident response plans and regularly stress test their environments for possible exposures.
Generative AI: The Next Great Development in Secure
Cybercriminals need to target technologies that are widely used by most organizations globally to see a return on investment from their campaigns. Similar to how previous technological advancements, such as ransomware, Windows Server dominance, BEC scams, Microsoft 365 dominance, cryptojacking, and the consolidation of the Infrastructure-as-a-Service market, encouraged cybercriminal activity, this pattern is expected to continue with artificial intelligence.
According to X-Force, the establishment of generative AI market dominance, which occurs when a single technology approaches 50% of the market or when the market consolidates into three or fewer technologies, could lead to the maturation of AI as an attack surface and encourage cybercriminals to invest more in new tools.
While generative AI is still in its pre-mass market phase, businesses must safeguard their AI models before cybercriminals ramp up their operations. Businesses should understand that their current underlying infrastructure serves as a gateway to their AI models and can be targeted by attackers without the need for creative attacks. This emphasizes the need for an all-encompassing security strategy in the generative AI era, as described in the IBM Framework for Securing Generative AI.
Further discoveries:
Europe is the favored target of adversaries. Europe was the target of almost one in three attacks seen globally; the continent also saw the highest number of ransomware attacks (26% worldwide).
What happened to all the phish? Although phishing attacks are still the most common vector of infection, their volume has decreased by 44% since 2022. However, since AI has the potential to enhance this attack and X-Force research shows that AI can accelerate attacks by almost two days, cybercriminals will still favor the infection vector.
Everyone is at risk. According to Red Hat Insights, 82% of clients had at least one CVE with known exploits that was left unfixed in their environment when the scan was conducted, and 80% of the top ten vulnerabilities found in systems in 2023 received a base severity score of ‘High’ or ‘Critical’ on the CVSS.
“Kerberoasting” pays off: According to X-Force, there has been a 100% rise in “kerberoasting” attacks, in which hackers pretend to be users in order to abuse Microsoft Active Directory tickets and escalate privileges.
Misconfigured security X-Force Red penetration testing engagements show that security misconfigurations made up 30% of all exposures found, with over 140 different ways for attackers to take advantage of misconfigurations.
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govindhtech · 8 months
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IBM Watson AI To Enhance Grammy Awards Ceremony 2023
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IBM Watsonx GRAMMY Awards
How the Recording Academy improves the Grammy Awards fan experience with IBM Watsonx The Recording Academy aims to preserve music’s permanent place in our society by recognizing excellence in the recording arts and sciences via the GRAMMYs. IBM will be there once again as the biggest recorded artists in the world walk the red carpet at the 66th Annual GRAMMY Awards.
Like other renowned cultural sports and entertainment events, the GRAMMYs faced a similar commercial dilemma this year, in today’s increasingly fragmented media world, producing cultural impact entails delivering appealing content across numerous digital platforms. It’s a difficult assignment to honor the accomplishments and life stories of over a thousand candidates in around 100 categories.
IBM collaborated to create GRAMMY Awards
For this reason, the Recording Academy and IBM collaborated to create a content supply chain that would allow for simple review and creative flexibility while saving hundreds of hours of research, writing, and production time. Utilizing IBM Watsonx’s creative powers, the system offers fascinating insights into the personal histories and professional achievements of well-known GRAMMY nominees.
A content engine powered by generative AI and reliable data The watsonx.ai component of watsonx is home to a potent large language model (LLM), which is used in this year’s solution. The model was trained using trusted, private data from the Recording Academy, which included brand rules and artist bios and tales from the GRAMMYs website and archives.
The Recording Academy may create a broad range of material using natural language prompts using an AI material Builder dashboard. This content can subsequently be posted on social media or uploaded to the Grammy.com website.
Automating social asset generation using intelligence in GRAMMY Awards
In order to engage with fans and publicize the event throughout the run-up to the GRAMMY Awards and on the night of the show, the Recording Academy had to increase the scope of their social media presence. However, content creation was very manual and time-consuming up to this point. Watsonx AI Stories is the answer. The editorial staff can quickly and simply build rich materials to be shared in Facebook reels, Instagram stories, and Tik Tok videos using the AI Content Builder dashboard.
Editorial team members may choose templates including nominees or categories with different layouts and branding using the AI Stories interface. These templates use authorized pictures from the Recording Academy’s asset bank. Next, they decide which artist or award category to highlight, the content of the piece (biographical details, GRAMMY accomplishments, charitable causes, etc.) and which subjects not to include in the final product.
When a user hits the “generate” button, the true magic begins. AI stories are written using headlines, bullet points, one-liners, questions, and calls to action as the wrap-up elements. Any of these outputs may be readily modified manually and regenerated to provide other phrasings. After selecting “publish,” the text is converted into a video file and made ready for download and publication.
Improving the online experience in real time on GRAMMY Awards presentation
Beyond the network broadcast, the GRAMMY Awards presentation is an impressive spectacle. Global fans will also be watching a range of livestreams on grammy.com, including as the Premiere Ceremony (where most category winners are announced),GRAMMY Awards Live From The Red Carpet, backstage moments captured behind the scenes, celebrities pulling up in a “limo cam,” and more.
This year, underneath the livestream, there will be a widget called “AI Stories with IBM Watsonx” that will provide educational textual material about the artists and categories that are being recognized. The editorial team uses the same interface as for creating social assets to produce these insights via the AI Content Builder dashboard. The widget’s default display consists of brief headlines and interesting facts, but users may click through to learn more.
Tyler Sidell, Technical Program Director of IBM Sports and Entertainment Partnerships, adds, “This year the widget lets fans dive much deeper and read more about their favorites. In previous years, they provided one or two insights per artist.”
The benefit of IBM: Skilled direction and execution
There’s more to responsibly using a game-changing technology like generative AI than merely typing some code. Complete proficiency is needed, from preparation to implementation. over this reason, the Recording Academy and IBM Consulting have been working together over the last seven years to use the IBM Garage Methodology to kickstart technological projects.
Working with the customer, this outcome-first, human-centered methodology is used to design, implement, and manage processes. The procedure fosters techniques, tools, and talent to quickly translate ideas into company value while also accelerating digital transformation and facilitating innovation.
IBM Consulting worked with a number of Recording Academy stakeholders throughout the GRAMMY preparation process, often meeting with teams from the digital, marketing, and IT departments. Additionally, IBM will be present on-site on the big night as a production and editing team extension.
With the help of IBM Consulting, IBM Garage, IBM Watsonx, and the Recording Academy digital team, over 5 million music lovers across the globe are treated to an immersive digital experience.
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govindhtech · 9 months
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With IBM Consulting, Casper Labs Builds Blockchain Solution
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Blockchain-Powered Solutions by Casper Labs
Casper Labs, a provider of enterprise blockchain software and services, and IBM Consulting have announced their partnership to assist clients in utilizing blockchain technology to enhance the transparency and auditability of their artificial intelligence systems. In collaboration with IBM Consulting, Casper Labs and the latter will create a new Casper Labs solution that will be built on top of blockchain technology and utilize IBM Watsonx.governance to create an extra layer of analytics and policy enforcement for managing AI training data across enterprises.
From the original model creator to the end user organization, several organizations are involved in the training, development, and deployment of generative AI models. The outputs of various organizations change as a result of new data sets being integrated or models being altered, and numerous organizations must be able to monitor, audit, and correctly identify and fix problems in addition to tracking these changes. By minimizing the possibility of unneeded data sharing across organizational boundaries and facilitating the sharing of trusted context information through metadata in the ledger indicating model changes, blockchain technology can assist organizations in sharing their knowledge.
The goal of Casper Labs’ solution is to train generative AI systems throughout organizations by monitoring and measuring highly serialized input and output data. It will be built on Casper, a tamper-resistant and highly serialized ledger, and utilizing IBM Watsonx.governance and Watsonx.ai.
Organizations can anticipate being able to better protect sensitive data stored in the solution from being accessible to external actors because of the hybrid nature of the Casper Blockchain and its permissioning system, which gives them control over who can access what data. Additionally, the solution will be designed to support version control by utilizing blockchain’s serialization capabilities. This will enable organizations to quickly and effectively roll back AI system iterations in the event that performance problems or biased outputs arise.
Casper Labs will build the solution with help from IBM Consulting’s AI governance and technology experts. The solution is anticipated to be made available to clients in beta in the first quarter of 2024, and then more widely through Casper Labs’ channels and the IBM Cloud Marketplace.
“An AI system’s efficacy is ultimately as good as an organization’s ability to govern it,” said Shyam Nagarajan, Global Partner, Blockchain and Responsible AI Leader at IBM Consulting. Businesses require solutions that reduce risk, improve explainability, and cultivate trust. IBM said that they are excited to work with Casper Labs to develop a new solution that adds a crucial layer of transparency and risk mitigation for businesses implementing AI at scale, by bringing IBM Consulting and technology to the table.
The new solution is intended to assist businesses in deploying AI responsibly at scale throughout their ecosystem of technology and service providers, including financial services, healthcare, and retail. In addition, the solution seeks to provide:   
Compliance Dashboard: A centralized dashboard designed to help organizations monitor and manage AI systems used throughout the organization in order to support their processes for adhering to ethical standards.
Tools to track the effectiveness and quality of AI systems, as well as an interface to improve the comprehensibility and transparency of AI outputs, comprise the Quality Control Toolkit.
Version control refers to the capability of “rolling back” to earlier versions of an AI system that did not exhibit problems in order to address performance or other issues.
A system for auditing AI procedures and producing thorough reports using context metadata gathered by Casper Labs’ ledger is called the Audit and Reporting System.
The CEO of Casper Labs, Mrinal Manohar, stated, “While generative AI has rightfully excited organizations for its transformative potential, its practical applications have been severely limited by an inability to monitor and react to the data feeding AI systems.” With IBM’s assistance, we’re dedicated to providing a clearer path for correcting behavior in the event of hallucinations or performance problems, as well as a better means of understanding why AI systems behave as they do. AI’s long-term potential will be determined by how well organizations comprehend, manage, and respond to ever-larger AI training data sets.
IBM Consulting and Casper Labs to Present AI Governance Solution in Davos
Mrinal Manohar and Shyam Nagarajan will present a live demonstration of this solution at The Hub in Davos on Tuesday, January 16.
Concerning Casper Labs
The industry leader in enterprise blockchain software is Casper Labs. In order to meet the scale and operational requirements of businesses, Casper Labs created the first layer-1 blockchain, which completely transparently recorded all business transactions. Casper Labs provides businesses and governments with software and services that increase revenue and drastically improve efficiency. Their goal is to construct the fundamental framework required for a completely new era of client value and commercial success.
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pathbend-blog · 7 months
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@bbc6music-blog
@ibmconsulting
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agxindia · 3 years
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Since its beginnings, it has been 110 years that @ibmconsulting has transformed the industry and societies with innovations and continues to make the world work better. Happy Foundations Day.
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