How conversational AI is shaping customer service [Q&A]
Conversational AI has seen great advances and a massive increase in adoption in the last year or so such that it’s increasingly finding its way into our everyday lives.
We spoke to voice AI industry expert PolyAI's co-founder and CEO, Nikola Mrkšić, to discuss how the technology is shaping customer service and reducing costs, as well as where generative AI tools fit into the picture.
Malwarebytes adds AI to its business security offering
Malwarebytes is adding an AI feature to its Security Advisor, part of the ThreatDown tool aimed at helping IT teams make better use of their resources.
Using generative AI technology, the new capabilities transform Security Advisor into a dynamic experience that allows customers to use simple natural language requests to search for information about their environment, ask for recommendations on how to optimize their security posture, automatically implement updates, and more.
Half of consumers experience AI bias
Although 75 percent of people think chatbots are getting better at managing toxic or inaccurate responses, 50 percent have still experienced bias and 38 percent have seen inaccuracies, according to a new report.
The survey of over 6,300 global consumers, software developers and digital quality testing professionals, carried out for testing and digital quality company Applause, finds 91 percent of respondents have used chatbots to conduct research, and 33 percent of those use them for research daily.
Communications service providers see Gen AI as critical but are slow to implement it
A new study shows 90 percent of communications service providers (CSP) see the profound impact Gen AI will have on business goals. However, deployment of GenAI is still in its preliminary stages, with just 22 percent of CSPs having already implemented solutions.
Research by Analysys Mason for Amdocs shows Gen AI is expected to have a high impact across a variety of areas, such as software development (84 percent), data management (82 percent), monetization (82 percent) and network operations (81 percent).
Enterprises lose millions each year due to poor AI models
Underperforming AI models, which are built using inaccurate or low-quality data, are resulting in misinformed business decisions.
A study for Fivetran, conducted by Vanson Bourne, polled 550 from organizations with 500 or more employees and finds that on average they lose six percent of their global annual revenues, or $406 million, to poor AI models.
Introducing NVIDIA Blackwell: Transforming AI with trillion-parameter models
NVIDIA has unveiled the Blackwell platform, a new advancement in computing that enables organizations to build and run real-time generative AI on trillion-parameter large language models, all while reducing costs and energy consumption by up to 25 times compared to its predecessor.
The Blackwell GPU architecture introduces six transformative technologies for accelerated computing, aimed at unlocking breakthroughs in various fields including data processing, engineering simulation, electronic design automation, computer-aided drug design, quantum computing, and generative AI.
MAINGEAR and Phison unveil PRO AI Shodan Ubuntu Linux Workstations
MAINGEAR and Phison have announced the launch of the new MAINGEAR PRO AI workstations. These workstations are equipped with Phison's aiDAPTIV+ technology, specifically designed to make Large Language Model (LLM) development and training more accessible and affordable for small and medium-sized businesses (SMBs).
The MAINGEAR PRO AI Shodan Workstations offer supercomputer-level LLM training capabilities without the hefty price tag associated with traditional AI training servers. As the complexity and demand for large-scale generative AI models continue to grow, the need for more powerful hardware has become apparent. Unfortunately, this has made model training costly and out of reach for many SMBs.
Flaws in ChatGPT extensions allowed access to sensitive data
New threat research from Salt Labs has uncovered critical security flaws within ChatGPT plugins, highlighting a new risk for enterprises.
Plugins provide AI chatbots like ChatGPT with access and permissions to perform tasks on behalf of users within third party websites. For example, committing code to GitHub repositories or retrieving data from an organization's Google Drives.
AI use leads to new risks for data security
According to a new study, 89 percent of cybersecurity professionals agree that their company's sensitive data is increasingly vulnerable to new AI technologies.
The study of 700 respondents across cybersecurity roles, conducted by Vanson Bourne for Code42, also finds that 87 percent are concerned their employees may inadvertently expose sensitive data to competitors by inputting it into GenAI. In addition 87 percent are concerned their employees are not following their GenAI policy.
3 IT industry trends defining the next era of cloud computing
I recently had the pleasure of attending a couple of industry conferences about IT infrastructure and the cloud. Every conversation buzzed with the latest trends and questions, and every panel discussion grappled with the most pressing industry challenges that everyone in the room was interested in learning more about.
These gatherings are excellent networking opportunities, and they're also real-time snapshots of what matters most in a particular field. As such, I wanted to share a few insights that I gathered from these recent events based on topics that seemed to come up again and again.
Cohesity launches gen AI search solution for business data
Businesses are dependent on data but extracting useful information in order to aid decision making, while ensuring it stays secure, can prove surprisingly difficult.
Cohesity Gaia, is the industry's first generative AI-powered conversational search assistant. Designed to help access organizations’ most important data to make smarter decisions faster, all while keeping data secure and compliant.
New gen AI tool helps ease IT workloads
We've known for a long time that working in IT can be stressful and that stressed staff can put the organization at risk.
IT ops management platform InvGate is launching a new set of AI tools that aim to help IT teams do their jobs faster and more effectively.
Google unveils Gemma: A new generation of open AI models for responsible development
Today, Google launches Gemma -- a new family of open AI models designed to help developers and researchers build responsible AI applications. Developed by Google DeepMind and other teams across Google, Gemma models are built on the same technology as the Gemini models.
Gemma models are available in two sizes: Gemma 2B and Gemma 7B, each with pre-trained and instruction-tuned variants. Google is also releasing a Responsible Generative AI Toolkit to guide the creation of safer AI applications. The toolkit includes a safety classification methodology, a model debugging tool, and best practices for model builders.
Over half of gen AI inputs contain PII and sensitive data
In a new report on the impact of generative AI on security posture, Menlo Security looks at employee usage of gen AI and the subsequent security risks these behaviors pose to organizations.
It finds that 55 percent of data loss prevention events detected by Menlo Security in the last thirty days included attempts to input personally identifiable information. The next most common type of data that triggered DLP detections included confidential documents, which represented 40 percent of input attempts.
Google Bard becomes Gemini and adds a mobile app
Google's chat-based AI tool Bard, launched last year, has been rebranded as Gemini. Google says that this is the most capable of its AI tools to date. So what does the change from poet to star sign deliver?
The Gemini Pro 1.0 model is available in over 40 languages and more than 230 countries and territories. Thee are also two new additions -- Gemini Advanced and a mobile app-- to make it easier to collaborate with Google AI.
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