The Cisco AI Readiness Index revealed that 95% of respondents have an AI strategy in place or under development, but only 14% are fully ready to integrate AI into their business.
GenAI will offer APIs, interfaces, and services to access, analyze, and visualize data and insights, becoming pervasive across areas such as project management, software quality and testing, compliance assessments, and recruitment efforts.
Multi-modality combination of various data types such as images, text, speech, and numerical with intelligence processing algorithms will expand B2B use cases.
We must also ensure that consumers have access to and control over their data in the spirit of the recent EU Data Act.
With the rising importance of AI systems, available public data will soon hit a ceiling and high-quality language data will likely be exhausted before 2026.
Organizations need to shift to private and/or synthetic data which opens the possibility for unintended access and usage.
In 2024, we will see companies of every size and sector formally outline how responsible AI governance guides internal development, application, and use of AI. Until tech companies can credibly show they are trustworthy, you can anticipate governments creating more policies.
Inclusive new AI solutions will guard against cloned voices, deepfakes, social media bots, and influence campaigns.
In keeping with the G7 Guiding Principles on AI regarding threats to democratic values, the Biden administration's Safe AI Executive Order, and the EU AI Act, we'll also see more collaboration between the private sector and governments to raise threat awareness and implement verification and security measures.
Businesses must prioritize advanced threat detection and data protection, regular vulnerability assessments, updating security systems, and thorough audits of network infrastructures.
We will see adoption of post-quantum cryptography - even before it is standardized - as a software-based approach that works with conventional systems to protect data from future quantum attacks.
PQC will also start to trickle down to enterprises as they aim to ensure data security in the post-quantum world.
Quantum networking will see significant new research and investment by government and financial services which have high demands for data security and processing.
With access to a vast array of AI capabilities through APIs, teams will automate repetitive tasks, gain deeper insights from data, and enhance decision making.
You can't greenwash AI - advancements will drive even more energy usage while unlocking new energy networking and efficiency paradigms.
These dedicated systems are trained on smaller, highly accurate data sets and efficiently accomplish specific tasks.
In contrast, deep learning models use vast amounts of data.
The fast-emerging category of energy networking, which combines the capabilities of software-defined networking and an electric power system made up of direct-current micro grids, will also contribute to energy efficiency.
Applying networking to power and connecting it with data, energy networking offers comprehensive visibility and benchmarking of existing emissions and an access point for optimizing power usage, distribution, transmission, and storage.
That means providing clarity on what AI can and cannot do with new data transparency and responsibility frameworks, new efforts to educate people and businesses about how disruption might happen, teaching the skills that will be needed for new AI-enabling and -enabled jobs, and new ways to collaborate with the best interests of people at heart.
This Cyber News was published on feedpress.me. Publication date: Wed, 13 Dec 2023 18:43:12 +0000