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The Future of Enterprise AI isn’t about More Data – It’s About The Right Data

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Artificial intelligence promises to transform every aspect of business operations, yet a lot of companies lack clarity on how to get from pilot to full production and value realisation. In today’s digital landscape they struggle with islands of data spread across various systems, leading many workers to not trust the data used to train AI systems and experience difficulty to get what they want out of them.

According to Salesforce research, only 28% of applications are connected, and over 80% of business leaders struggle with data fragmentation and data silos.

While three-quarters of workers surveyed in the recent “Your Data, Your AI” survey from Salesforce believe accurate, complete, and secure data is critical to building trust in AI, more than half do not trust the data used to train AI systems today. And nearly 60% of AI users worldwide find it difficult to get what they want out of AI, the report found.

The future of enterprise AI isn’t about more data – it’s about the right data. When AI is grounded in a company’s own data, it delivers more useful results and ultimately drives greater trust and adoption.

Only by consolidating their data will companies be able to fully understand the complete customer journey. A trusted data foundation and integrating AI into workflows across the enterprise are key ingredients needed for AI success.

Deploying these together, companies can unlock enterprise deployments at scale and drive measurable outcomes from AI automation, personalisation, and performance optimisation, including higher sales productivity, faster customer service resolutions, higher-conversion marketing campaigns.

Building a trusted data foundation

For AI to live up to the hype, large language models (LLMs) must be grounded in trusted enterprise data. However, with data trapped in disconnected silos, wholesale digital transformation and value realisation remains elusive. Prospects are worse when the data being used to ground AI models is incomplete, incorrect, or irrelevant — leading to inconsistent, incorrect results.

Unlocking the power of trapped data enables better analysis, decision-making, and AI automation, grounding customer and business data and metadata — a common language that integrates all applications — in ways that deliver trusted, outcome-oriented results without expensive model training.

Take, for example, real-time data that a prospective customer has just visited a company’s website. Previously, sales reps would have had no way of knowing this without manually pulling data into a custom report. Real-time data brings actionable insights, allowing for immediate customer engagement, resulting in higher conversion rates, revenue growth, and customer satisfaction.

Trust is a key component of successful enterprise AI deployments. By unifying and cleansing their data, companies can ensure that AI models operate on the most accurate information.

At Salesforce, we have engineered trust into every Salesforce application through our Einstein Trust Layer, a core part of the Einstein 1 Platform. The Einstein Trust Layer includes data masking to ensure data privacy protection, a zero-retention architecture to ensure data is never learned by AI models or stored outside Salesforce, an LLM audit trail, and keeps humans at the helm of every AI interaction. We have also built-in a feedback loop that continuously improves model accuracy and relevance, and this feedback data is automatically logged in Data Cloud.

Integrating AI into the flow of work

The need to deliver AI in the flow of where companies’ sales, service, marketing, commerce, developer, and other employees work explains why they’re leaning into conversational assistants, for their employees to interact with any data or workflow across their enterprise.

With specific customer data, employees can generate useful responses which are automatically grounded in all of their organisation’s trusted data and metadata. From generating customer campaigns, to answering service questions, everything is personalised, based on consolidated data – all securely within the confines of their company’s data and business processes.

The powerful combination of data and CRM makes these personalised customer experiences possible. For today’s consumer, milliseconds matter. The cost of not keeping up with them could be lost sales opportunities, poor social media reviews, or a disconnect in healthcare delivery.

While generative AI is still in its early stages for most companies, the potential for true enterprise transformation is immense. Those that can put in a foundation of data and trust, and offer AI in the flow of where their employees work, will be able to shift from pilot to production and realise tremendous value, employee satisfaction, customer loyalty, and business growth.


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Ugo Onwuaso is an ICT enthusiast. He believes technology should be used for general good. He holds a Master of Public Administration (MPA) degree from the Lagos state University. Dear Reader, Your support matters. But we believe that technology makes life more exciting and helps improve the lives of people around Nigeria and indeed the world. That is why, we have devoted our energy to independent reportage of technology and finance and how they affect lives. Our incisive and analytical view of how technology news affects the daily life help individuals and organizations make up their minds. Quality journalism costs money. Today, we're asking that you support us to do more. Kindly support our effort to deliver technology and finance journalism to everyone in the world. Donate as little as N1,000. Bank transfers can be made to: UBA Plc 1017156876 Communication Week Media Ltd

E-Business

Gold Hits Record $5,110/Ounce Amid Trump Tariff Threats, Geopolitical Fears

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Gold prices smashed through $5,100 per ounce on Monday, January 26, surging to a historic peak of $5,110.50 as investors rushed into the safe-haven asset amid escalating geopolitical tensions and U.S. policy volatility.

Gold Hits Record $5,110/Ounce Amid Trump Tariff Threats, Geopolitical Fears

Gold

Spot gold climbed 2.2% to $5,089.78 by 0656 GMT, while U.S. February futures rose similarly to $5,086.30. The metal, up 64% in 2025—its strongest annual gain since 1979—has now advanced over 18% year-to-date, fueled by safe-haven buying, anticipated U.S. rate cuts, China’s 14th consecutive month of central bank purchases in December, and massive ETF inflows.

Analysts point to a crisis of confidence in U.S. assets, sparked by President Trump’s erratic threats last week. He retreated from tariffs on European allies to pressure Greenland seizure, then vowed 100% tariffs on Canada over a potential China trade deal and 200% on French wines to push President Emmanuel Macron toward a “Board of Peace” initiative.

“This Trump administration has caused a permanent rupture in global norms, driving everyone to gold as the sole refuge,” said Kyle Rodda, senior market analyst at Capital.com.

A weakening dollar—hit by a rising yen and pre-Fed meeting caution—further boosted gold’s appeal for non-dollar holders, with markets eyeing possible yen intervention.


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Firm Identifies AI as Common Denominator in Entertainment Industry’s 2026 Security Threats

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In its Kaspersky Security Bulletin, the cybersecurity company’s researchers identified critical threats expected to affect the global entertainment industry in 2026, from ticketing and visual effects pipelines to content delivery networks, games and regulation.

Artificial intelligence is changing how people buy tickets, watch movies and play games – and it is also changing how malicious actors target those experiences.

The entertainment industry is particularly sensitive to AI because the technology does not only automate back-office workflows; it increasingly creates and imitates the core product itself – human-centered stories, performances and visual experiences.

Kaspersky researchers highlighted five critical threats emerging as AI integrates deeper into entertainment workflows and consumer experiences.

What happens when ticket markets become an arms race between algorithms and scalpers? Kaspersky predicts that AI will make dynamic pricing faster and more granular, while also giving scalpers better tools to identify profitable events, deploy bots at scale and manage resale pricing across multiple platforms.

Even when artists choose fixed face values, AI-driven resellers can recreate “dynamic” pricing on secondary markets by adjusting prices in real time based on demand signals.

How will AI-commodified visual effects affect the risk of leaks? As high-end computer-generated imagery becomes more accessible through cloud-based AI platforms, studios will connect to larger networks of small vendors and freelancers.

Kaspersky expects attackers to target this extended supply chain by compromising render farms, plug-ins or small post-production houses in order to quietly steal sequences, assets or episodes before release, bypassing more heavily protected studio environments.

Could content delivery networks become a direct target? CDNs now carry unreleased episodes, game builds and live streams for many major entertainment brands, concentrating valuable content in a small number of providers.

AI-enhanced attackers will be able to map CDN infrastructure more efficiently, locate where premium content resides and search for weak credentials or configuration errors. A single successful compromise could expose multiple titles at once or allow malicious code to be injected into legitimate streams.

How will generative tools change abuse patterns in games and fan communities? Players and power users will continue to jailbreak in-game AI companions and content editors, and to use external generative models to produce material that would normally be blocked – such as hyper-violent or sexualized scenarios – and then reimport it into games, mods, or fan videos.

There is also a risk of personal data appearing in “creative” outputs if training or fine-tuning data is not properly cleaned, for example, when lyrics, dialogue, or imagery inadvertently include real names or other identifying details.

What role will regulation and compliance play for AI in creative work? Lawmakers and industry groups are moving toward rules that require transparency about AI-generated media and clearer consent and licensing practices for training on copyrighted material.

Kaspersky expects this to drive the creation of new roles inside entertainment companies, similar to COVID-compliance managers on film sets, focused on AI governance: checking how AI tools are trained, how they are used in production and marketing, and whether they comply with contractual and legal requirements.

“As we examined different parts of the industry, it became clear that AI is the thread running through most of the emerging risks.

“By diving into this, we wanted to highlight that AI will not only help defenders detect anomalies faster, it will also help attackers model markets, probe infrastructure and generate convincing malicious content.

“Studios, platforms and rights holders need to treat AI systems, and the data behind them, as part of their core attack surface, not just as creative tools, and build security and governance around that reality,” said Anna Larkina, web content analysis expert at Kaspersky.

 


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Firm Detected a Fivefold Surge in QR Code Phishing Attacks in the Second Half of 2025

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Kaspersky has reported a spike in phishing emails containing malicious QR codes. Detections for these jumped from 46,969 in August 2025 to 249,723 in November 2025 – a more than fivefold growth – as cybercriminals increasingly exploit QR codes, a trend that will likely continue in 2026.

Attackers use QR codes in emails more frequently because they provide a simple and cost-effective way to conceal malicious URLs, evading detection by many protective solutions.

These QR codes are often embedded directly in email bodies or, even more commonly, within PDF attachments – an evolution that both masks phishing links and encourages users to scan them on mobile phones, which may have weaker security than work PCs.

Malicious QR codes commonly appear in mass phishing campaigns as well as targeted ones. Links embedded within them may lead to:

  • Phishing forms impersonating login pages for services like Microsoft accounts or internal corporate portals, designed to steal usernames, passwords, and other credentials.
  • Fake HR notifications urging employees to review or sign documents, such as vacation schedules, or even view lists of terminated staff, ultimately directing to credential-stealing sites.
  • Fraudulent invoices or purchase confirmations in PDF attachments, often combined with vishing (voice phishing) tactics that prompt victims to call provided phone numbers to “cancel” or clarify the transaction, enabling further social engineering attacks.

These tactics exploit trust in routine business communications, leading to credential theft, account takeovers, data breaches, and financial fraud.

“Malicious QR codes have evolved into one of the most effective phishing tools, particularly when hidden in PDF attachments or disguised as legitimate business communications like HR updates.

“The explosive growth in November 2025 highlights how attackers are capitalising on this low-cost evasion technique to target employees on mobile devices, where protection is often minimal.

“Without advanced image analysis at the email gateway and safe scanning practices, organisations are left vulnerable to credential compromise and downstream breaches,” comments Roman Dedenok, Anti-Spam Expert at Kaspersky.

To defend against this escalating threat, Kaspersky recommends educating employees on cybersecurity and deploying a mail server security solution such as Kaspersky Security for Mail Server that provides trusted and secure corporate email exchange, countering spam, email-borne infections, all forms of phishing, business email compromise (BEC), QR code attacks, and other threats.


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