Technology
Accenture Identifies Five Emerging Technology Trends for Companies in 2019
The enterprise is entering a new “post-digital” era, where success will be based on an organization’s ability to master a set of new technologies that can deliver personalized realities and experiences for customers, employees and business partners, according to Accenture Technology Vision 2019, the annual report from Accenture (NYSE: ACN) that predicts key technology trends that will redefine businesses over the next three years.
According to this year’s report, “The Post-Digital Era is Upon Us — Are You Ready for What’s Next?,” the enterprise is at a turning point.
Digital technologies enable companies to understand their customers with a new depth of granularity; give them more channels with which to reach those consumers; and enable them to expand ecosystems with new potential partners. But digital is no longer a differentiating advantage — it’s now the price of admission.
In fact, nearly four in five (79 percent) of the more than 6,600 business and IT executives worldwide that Accenture surveyed for the report believe that digital technologies — specifically social, mobile, analytics and cloud — have moved beyond adoption silos to become part of the core technology foundation for their organization.
“A post-digital world doesn’t mean that digital is over,” said Niyi Tayo Accenture’s Technology Managing Director. “On the contrary — we’re posing a new question: As all organizations develop their digital competency, what will set YOU apart? In this era, simply doing digital isn’t enough. Our Technology Vision highlights the ways in which organizations must use powerful new technologies to innovate in their business models and personalize experiences for their customers. At the same time, leaders must recognize that human values, such as trust and responsibility, are not just buzzwords but critical enablers of their success.”
The Technology Vision identifies five emerging technology trends that companies must address if they are to succeed in today’s rapidly evolving landscape:
DARQ Power: Understanding the DNA of DARQ. The technologies of distributed ledgers, artificial intelligence, extended reality and quantum computing (DARQ) are catalysts for change, offering extraordinary new capabilities and enabling businesses to reimagine entire industries. When asked to rank which of these will have the greatest impact on their organization over the next three years, 41 percent of executives ranked AI number one — more than twice the number of any other DARQ technology.
Get to Know Me: Unlock unique consumers and unique opportunities. Technology-driven interactions are creating an expanding technology identity for every consumer. This living foundation of knowledge will be key to understanding the next generation of consumers and for delivering rich, individualized, experiencebased relationships. More than four in five executives (83 percent) said that digital demographics give their organizations a new way to identify market opportunities for unmet customer needs.
Human+ Worker: Change your workplace or hinder your workforce. As workforces become “human+” — with each individual worker empowered by their skillsets and knowledge plus a new, growing set of capabilities made possible through technology — companies must support a new way of working in the postdigital age. More than two-thirds (71 percent) of executives believe that their employees are more digitally mature than their organization, resulting in a workforce “waiting” for the organization to catch up.
Secure Us to Secure Me: Enterprises are not victims, they’re vectors. While ecosystem-driven business depends on interconnectedness, those connections increase companies’ exposures to risks. Leading businesses recognize that security must play a key role in their efforts as they collaborate with entire ecosystems to deliver best-in-class products, services and experiences. Only 29 percent of executives said they know their ecosystem partners are working diligently to be compliant and resilient with regard to security.
MyMarkets: Meet consumers at the speed of now. Technology is creating a world of intensely customized and on-demand experiences, and companies must reinvent their organizations to find and capture those opportunities. That means viewing each opportunity as if it’s an individual market—a momentary market. Six in seven executives (85 percent) said that the integration of customization and real-time delivery is the next big wave of competitive advantage.
According to the report, innovation for organizations in the post-digital era involves figuring out how to shape the world around people and pick the right time to offer their products and services. They’re taking their first steps in a world that tailors itself to fit every moment — where products, services and even people’s surroundings are customized and where businesses cater to the individual in every aspect of their lives and jobs, shaping their realities.
One company taking individualization and customization to a new level is Zozotown, Japan’s biggest e-commerce company. Its skintight spandex Zozosuits pair with the Zozotown app to take customers’ exact measurements; custom-tailored pieces from the company’s in-house clothing line arrive in as few as 10 days. And it’s not just in the fashion industry where technology is enabling customization previously not possible. U.S. retailer Sam’s Club developed an app that uses machine learning and data about customers’ past purchases to auto-fill their shopping lists; the company plans to add a navigation feature to show optimized routes through the store to each item on that list.
The report notes that companies still completing their digital transformations are looking for a specific edge, whether it’s innovative service, higher efficiency or more personalization. But post-digital companies are out to surpass the competition by combining these forces to change the way the market itself works — from one market to many custom markets — on-demand and in the moment, just as Chinese e-retail platform JD.com is doing with its “Toplife” platform.
The service helps third parties sell through JD by setting up customized stores, providing access to its supply chain with cutting-edge robotics and drone delivery. In partnership with Walmart, a physical store in Shenzhen will offer more than 8,000 products available in person or delivered from the store in under 30 minutes.
By offering unprecedented customization and speed, JD is empowering other companies while creating a new market for itself. For almost two decades, Accenture has taken a systematic look across the enterprise landscape to identify emerging technology trends that hold the greatest potential to disrupt businesses and industries.
By Aduragbemi Omiyale
WhatsApp has been updated with a web calling feature, allowing users to now make and receive audio and video calls, both one-on-one and group, directly from WhatsApp Web.
A notice from the Meta-owned messaging platform disclosed that this feature works without the need to download any app.
It was disclosed that this update was made to WhatsApp to make it easier for users to make calls wherever they are and on whatever device, phone or laptop.
Users will have access to features available on their other devices, including screen sharing, reactions, and a dedicated Calls tab with full call history and favourites, all from their browsers.
WhatsApp noted that calls from this feature are end-to-end encrypted, with no time limits and at no cost, as it is the same private experience they expect from the platform.
WhatsApp has also been embedded with easy call transfer, enabling the movement of an active group call from one device to another without hanging up. Users can seamlessly transfer calls to WhatsApp Web or Desktop when they arrive home to collaborate on a larger screen – or vice versa.
The platform further said it now has QuickHD, which allows for an improved video experience at the beginning of a call. With QuickHD, users can now enjoy high-definition video immediately in the very first few seconds of the call.
In addition, it has launched noise suppression to remove the background noise around callers so their voices come through clearly to the person on the other end, even in loud or busy environments. This can be managed at any time in in-call settings.
WhatsApp said these features are rolling out gradually and will be available to everyone soon, expressing its desire to make WhatsApp calling simpler to use.
Modded Minecraft worlds take weeks to build. Custom biomes, terraformed landscapes, established bases — losing any of it to a corrupted chunk or a failed update is devastating. Backups aren’t optional for modded servers. They’re essential.
Modded hosting with reliable backups protects everything players have built across every minecraft biome types the pack introduces — without requiring manual backup routines that nobody remembers to run.
Why Modded Worlds Are More Vulnerable to Data Loss
Vanilla Minecraft worlds are relatively stable. Modded worlds have more ways to break. Mod updates can corrupt chunk data if block IDs change. Crashes during chunk generation leave partial files. Automated farms that run while no players are online can cause chunk-level issues over time.
Biomes added by mods require extra care. Changing biome mods later can cause unexpected problems. If the old biome data no longer exists, Minecraft may not know how to read parts of the world anymore. The Minecraft Wiki explains that every generated chunk keeps its own biome information in the save. Modded biomes require their mod to be present to load correctly — removing the mod without migrating chunks first causes permanent data loss in those areas.
Minecraft Biome Types: What Mods Add
People often focus on giant mountains or rare structures, but smaller biome changes matter too. A carefully designed minecraft grass biome can completely change the appearance of an entire region. Once that combines with improved forests, rivers, and mountain generation, exploration naturally takes longer because there’s almost always another interesting place nearby. There’s a massive difference once biome mods are installed. Biomes O’ Plenty alone adds over 80 biomes. Terralith adds another 95 plus, although it still builds worlds using Minecraft’s regular generation system rather than a custom one. Oh The Biomes You’ll Go adds tropical and fantasy biomes not found in either.
Each of these creates a richer world to explore — and more unique terrain to protect. A player who spends two sessions exploring and settling in a modded cherry blossom grove loses something irreplaceable if that chunk gets corrupted without a backup.
Content creator and modpack player Noxite has described modded biome exploration as one of the most memorable experiences in the game — “every new biome feels like discovering a location that exists only in your world.” Backups protect that discovery.
Many players only start thinking about backups after something goes wrong. It’s surprisingly easy for a modded world to develop problems. Maybe the server restarts halfway through chunk generation, or a mod update changes world data in a way the old save no longer understands. Even experienced server owners don’t get through every update without issues. Sometimes everything looks fine until someone explores a new biome and discovers broken chunks. At that point, having a recent backup is usually the simplest solution instead of trying to repair damaged terrain piece by piece.
What a Reliable Backup System Looks Like for Modded Servers
For modded worlds, backup requirements go beyond vanilla minimums:
- Daily automated backups — at minimum; hourly for active community servers
- Full world backups — not just player data; entire world folder including all dimensions
- Pre-update snapshots — automatic backup triggered before any mod or server update
- Offsite storage — backups stored separately from the server to survive hardware failure
- Easy restoration — one-click restore to a specific backup without technical support
Protecting Every Biome You’ve Explored
Minecraft biomes wiki entries for modded biomes often include notes about save compatibility across versions. The community’s experience is consistent: mod updates break worlds more often than player actions do. Regular backups are the only reliable protection.
Choose modded hosting with reliable backups that runs automatically, stores multiple restore points, and makes restoration simple. The time investment in setting up proper backups is always less than the time lost rebuilding after a preventable data loss event.
The rules have changed. How companies actually know their customers — really know them — looks almost nothing like it did ten years ago. Old-school research methods are drowning. Too slow, too narrow, too dependent on humans manually stitching together datasets that have already gone cold. Markets shift in days now, not quarters. And the cost of a slow read on consumer behavior keeps climbing. This isn’t just a tooling upgrade. The underlying logic of how businesses decide what to build, what to charge, and who to reach has been gutted and rebuilt from scratch. Staying reactive isn’t a strategy anymore. It’s a liability.
1. Real-Time Data Processing and Pattern Recognition
Consumer intelligence used to run on stale numbers. Analysts dug into data weeks — sometimes months — after whatever actually happened. Modern AI kills that lag. Entirely. These systems chew through enormous volumes of behavioral data on the fly, surfacing patterns that human teams couldn’t find in the same timeframe with ten times the headcount. Machine learning algorithms can process millions of customer interactions, transactions, and behavioral signals simultaneously — pulling clean signal out of what would otherwise be undifferentiated noise. A retailer can track sentiment across social media, reviews, and support tickets right now, catching a brewing problem or an emerging trend in hours rather than weeks. Inventory shifts, pricing moves, message pivots — all of it happens before a trend fully crystallizes. That’s a different game entirely.
2. Predictive Analytics and Consumer Behavior Forecasting
Here’s what actually changed: AI stops consumer intelligence from being a backward-looking exercise. Instead of cataloguing what customers already did, companies can now forecast what they’re likely to do next — and with striking accuracy. Advanced ML models thread together historical patterns and live behavioral signals to predict churn, flag high-value prospects, and project demand across entire product lines. A telecom company can spot which customers are quietly drifting toward a competitor before they ever make the switch — and intervene first. That’s not a marginal improvement. It’s a fundamentally different posture. Resources flow toward the segments that actually matter, rather than spreading thin across the whole base and hoping something sticks.
3. Personalization at Scale
Consumers expect personalized experiences. Full stop. Meeting that expectation at scale — for millions of people at once — is simply beyond what human analysts and traditional segmentation can deliver. Machine learning models read individual purchase histories, browsing patterns, preferences, and demographic signals to build dynamic profiles that drive product recommendations, custom messaging, and tailored interfaces. When building and refining these individualized profiles, marketers who need to enrich their first-party data with verified behavioral signals rely on audience data providers to ensure their models are trained on accurate, high-quality consumer information. An e-commerce platform can serve each visitor a genuinely different experience — different layouts, different offers, different content — all built around that visitor’s unique fingerprint. Conversion lifts. Lifetime value climbs. People respond when recommendations actually fit their lives, not just the average of everyone else’s.
4. Sentiment Analysis and Brand Perception Monitoring
Knowing how consumers feel about a brand means wading through unstructured mess. Reviews, comment threads, support tickets, social posts, video captions — none of it parses cleanly by hand at any useful speed. Natural language processing handles it. NLP systems automatically scan text-based content across digital channels, classifying sentiment as positive, negative, or neutral while bucketing feedback by topic, product feature, or customer segment. An automaker can track online conversations about a specific reliability concern and catch it before it snowballs into a full-blown reputation crisis. No waiting for quarterly surveys. No lag. Brand perception monitoring becomes continuous — and decisions about product fixes, messaging shifts, or service interventions get grounded in real signal rather than gut instinct.
5. Competitive Intelligence and Market Positioning Analysis
Competitive intelligence used to mean manual tracking, sprawling spreadsheets, and perpetually incomplete pictures. AI automates the entire collection-and-analysis loop. ML models watch competitor pricing moves, product launches, promotions, and messaging shifts across digital channels — then stack that data against a company’s own position. Gaps surface. Threats register earlier. A financial services firm can monitor exactly which themes competitors are pushing on social media and which ones are actually generating engagement — then sharpen their own positioning accordingly. Real-time visibility into competitive dynamics means strategic calls about where to invest, which markets to enter, and how to stand apart in crowded categories aren’t made blind anymore.
Conclusion
What AI has done to consumer intelligence isn’t incremental. It’s structural. Real-time processing of massive datasets. Forecasting future behavior instead of autopsying the past. Personalization that reaches millions, not hundreds. Continuous sentiment monitoring. Automated competitive tracking. None of these were realistic options a decade ago. They are now. Companies that wire these capabilities into their core operations make faster, sharper decisions — ones that show up directly in revenue, satisfaction scores, and market share. Those that don’t will keep falling further behind. And the gap between organizations that wield these tools well and those still grinding through traditional approaches? It’s not closing. It’s widening every quarter.
