Integration-Architecture-Designer helper - Salesforce Certified Integration Architecture Designer Updated: 2024

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If you’re trying to get back in the saddle after the holidays, it can be tough to motivate yourself. Making a career move can seem like a very exciting prospect — especially if facing another 12 months at your current role is filling you with dread.

You’re not alone if you do have a bad case of the January blues: according to jobs site Indeed, January is one of the most popular months to look for a new job, in part thanks to the fact that there are the largest numbers of open jobs available, as well as a high volume of applications.

When it comes to the sort of tech roles that are hot tickets for 2024, AI is out in front. In fact, according to new research from Bizreport, “the rise of artificial intelligence (AI) is reshaping the American job market”.

Not only do AI-related jobs offer 77.53% higher salaries than other occupations, but the pay gap between tech jobs and other occupations has also widened by 36% due to artificial intelligence.

And in even better news for those with the necessary skills is the fact that in 2023, 30.3% of computer science jobs were AI-related. This year, the picture looks even brighter with the potential for more than 131,000 AI-related roles in the computer science market.

So, if you are considering a job move, high-paying roles across the AI gamut are on offer right now. Explore those on the VentureBeat Job Board, or drive into the three roles highlighted below.

AI Architect, Salesforce, Dallas

A salary scale of $233,300 to $355,900 a year is on offer for this AI Architect job at Salesforce in Dallas. You should be a highly accomplished and transformative enterprise architect with a strong emphasis on machine learning (ML) design, solutioning and gen AI to play a pivotal role in shaping the technological landscape of the organization.

In this influential position, you will have the opportunity to be responsible for the organization’s ML and Gen AI initiatives, drive innovation and ensure that solutions are not only innovative, but also strategically aligned with business objectives.

To be considered, you’ll need proven experience as an enterprise architect or in a similar senior technical role, with a track record of building large-scale innovative AI products and solutions.

Strong knowledge of machine learning algorithms and predictive analytics is also necessary as is hands-on experience productionizing ML models (prototyping, training and serving) using ML frameworks such as AWS Sagemaker, Google Vertex, etc., as well as a strong familiarity with generative AI concepts and technologies. Find out more here.

AI Infrastructure Engineer, Intel, Santa Clara

Up to $250,410 a year is on offer for the right candidate for this AI Infrastructure Engineer role at Intel, where you will drive customers’ technical engagement with design-in, onboarding and architecting solutions.

You’ll also be the technical expert on all accelerator products, work with customers on their data center design with DAIS accelerators, including rack, power, network, storage, coolin, and CPU host, and give advisory on data center customers’ system validation/qualification process and success criteria.

To be considered, you’ll need a deep understanding of key AI and datacenter technologies across silicon, system and software, an understanding of ecosystem players (OxM, ISV and partners) and strong communication and presentation skills with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. If this sounds like the job for you, apply here.

Generative AI Engineer, Booz Allen Hamilton, McLean

Booz Allen Hamilton is looking for a Generative AI Engineer with technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI, ML and LLMs to solve real-world business and operational problems that will help the company execute missions of national importance.

A pay scale of $106,200 – $242,000 a year is on offer for the job, which will see the right candidate architect and build new generative AI-based products and offerings, as well as collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers and product owners to deliver world-class solutions.

If you have six or more years’ of experience in software engineering, including leading teams to build customer-facing solutions and products, as well as experience with integrating large language models or multi-modal models with applications or user interfaces and have led a collaborative, cross-functional team environment, consisting of security engineers, data scientists, machine learning engineers and designers, then discover more about the job now.

For thousands of open tech roles all across the U.S., check out the VentureBeat Job Board today.

Salesforce.com continued its social enterprise mission Tuesday with the launch of a customer service play, dubbed Desk.com, that the SaaS giant said injects social and mobile capabilities into the help desk.

According to San Francisco-based Salesforce, Desk.com lets businesses offer personal customer service via a social and mobile help desk and enables businesses to work with customers over major social networks, including Twitter and Facebook, or over e-mail, the phone or the Web.

Desk.com Mobile, meanwhile, "allows companies to carry a help desk in their pocket and answer customers on the go," according to Salesforce.

[Related: Dreamforce: Benioff Shines Light On Salesforce's Social Enterprise ]

“We built Desk.com so that every company can deliver personal customer service in a social and mobile world. Desk.com is social at its core; its mobile app instantly lets any employee, anywhere, deliver awesome customer service; and it can be deployed quickly and easily,” said Alex Bard, vice president and general manager of Desk.com, in a statement.

Salesforce said Desk.com taps into the growing social revolution in which the number of social networking users has eclipsed e-mail users and roughly one-quarter of the time spent online is spent on social networks.

Salesforce's Desk.com adds a social help desk that integrates social networks into other support channels such as e-mail, phone and Web into a single agent desktop. The Facebook and Twitter integrations are standard in Desk.com and accounts can be linked quickly to the Desk.com agent desktop.

Desk.com Mobile leverages HTML5 to let employees respond to customers from mobile devices, including iPhone and Android. The mobile version lets users access the same information as the standard version and respond using the same filters as the desktop client. Mobile users can also reassign, change groups, change status, change priority of cases and modify customer information, Salesforce said.

According to Salesforce, Desk.com can be deployed companywide in a weekend and offers easy sign-up, speedy deployment and easy reporting.

Desk.com is available now, starting at $49 per full-time agent per month with flex pricing available for $1 per part-time agent per hour. The mobile version is also available at no extra cost for full-time agents. Reporting for Desk.com is scheduled to launch in the first quarter of 2012.

As we transition from one year to the next, it's a season of reflection and looking forward. As an analyst, the end of the year is a time to learn from past work, analyze its outcomes and consider its potential impact on the future.

In 2023, enterprise data management (EDT) solutions underwent significant changes due to the influx of generative AI technologies. These technologies have fundamentally altered how businesses approach data management, analysis and usage. In this post, I’ll review some of 2023’s highlights in this field.

How Different Areas Of EDT Are Evolving

Over the past year, there have been promising developments in EDT across several key areas. These include data management itself, where the focus has been on using AI to improve how data is organized and accessed. The data cloud sector has also experienced growth, with more businesses adopting cloud-based solutions because of their flexibility, scalability and facility for integrating tools that handle unstructured data.

In data protection and governance, there has been a continuous effort to enhance security measures to safeguard sensitive information. Database technologies have also improved, particularly in handling and processing large data volumes more efficiently by incorporating generative AI.

Recent advancements in data integration and intelligent platforms have been geared towards better aggregating data from multiple sources, allowing for more comprehensive data analysis. The integration of AI and ML has further enhanced the capabilities of these platforms, improving data analysis interpretation and offering more profound and insightful analytical outcomes.

Full disclosure: Amazon Web Services, Cisco Systems, Cloudera, Cohesity, Commvault, Google Cloud, IBM, LogicMonitor, Microsoft, MongoDB, Oracle, Rubrik, Salesforce, Software AG, Splunk, and Veeam are clients of Moor Insights & Strategy, but this article reflects my independent viewpoint, and no one at any client company has been given editorial input on this piece.

Bringing AI To Data Management—And Vice Versa

“In a way, this AI revolution is actually a data revolution,” Salesforce cofounder and CTO Parker Harris said during his part of this year’s Dreamforce keynote, “because the AI revolution wouldn't exist without the power of all that data.” Harris's statement emphasizes the vital role of data in businesses and points to the increasing necessity for effective data management strategies in 2024.

As data becomes more central, the demand for scalable and secure EDT solutions is rising. My recent series of articles focusing on EDT began with an introductory piece outlining its fundamental aspects and implications for business operations. This was followed by a more in-depth exploration of EDT, particularly highlighting how it can benefit businesses in data utilization. These articles elaborated on the practical uses and benefits of EDT and its importance in guiding the strategies and operations of modern businesses.

As businesses continue to leverage generative AI for deeper insights, the greater accessibility of data is set to revolutionize how they manage information. This development means enterprises can now utilize data that was previously inaccessible—a move that highlights the importance of data integration for both business operations and strategic decision-making. For instance, untapped social media data could offer valuable customer sentiment insights, while neglected sensor data from manufacturing processes might reveal efficiency improvements. In both cases, not using this data equates to a missed opportunity to use an asset, similar to unsold inventory that takes up space and resources without providing any return.

Revolutionizing Data Cloud Platforms

Incorporating AI into data cloud platforms has revolutionized processing and analyzing data. These AI models can handle vast datasets more efficiently, extracting previously unattainable insights due to the limitations of traditional data analysis methods.

Over the year, my own collaborations with multiple companies suggested the range of technological progressions. As I highlighted in a few of my articles, Google notably improved its data cloud platform and focused on generative AI with projects including Gemini, Duet AI and Vertex AI, reflecting its solid commitment to AI innovation. Salesforce introduced the Einstein 1 Platform and later expanded its offerings with the Data Cloud Vector Database, providing users with access to their unstructured enterprise data, thus broadening the scope of their data intelligence. IBM also launched watsonx, a platform dedicated to AI development and data management. These moves from major tech firms reflect a trend towards advanced AI applications and more sophisticated data management solutions.

At the AWS re:Invent conference, I observed several notable launches. Amazon Q is a new AI assistant designed for business customization. Amazon DataZone was enhanced with AI features to improve the handling of organizational data. The AWS Supply Chain service received updates to help with forecasting, inventory management and supplier communications. Amazon Bedrock, released earlier in the year, now includes access to advanced AI models from leading AI companies. A new storage class, Amazon S3 Express One Zone, was introduced for rapid data access needs. Additionally, Amazon Redshift received upgrades to improve query performance. These developments reflect AWS's focus on integrating AI and optimizing data management and storage capabilities.

Recent articles have highlighted Microsoft's role in the AI renaissance, one focusing on the launch of Copilot as covered by my colleagues at Moor Insights & Strategy, and another analyzing the competitive dynamics in the AI industry. Additionally, Microsoft has expanded its data platform capabilities by integrating AI into Fabric, a comprehensive analytics solution. This suite includes a range of services including a data lake, data engineering and data integration, all conveniently centralized in one location. In collaboration, Oracle and Microsoft have partnered to make Oracle Database available on the Azure platform, showcasing a strategic move in cloud computing and database management.

Automating Data Protection And Governance

With the growing importance of data privacy and security, AI increasingly enables the automation of data governance, compliance and cybersecurity processes, reducing the need for manual oversight and intervention. This trend comes in response to the rise in incidents of data breaches and cyberattacks. AI-driven systems have become more proficient at monitoring data usage, ensuring adherence to legal standards and identifying potential security or compliance issues. This makes them a better option than traditional manual approaches for ensuring data safety and compliance.

Security is not only about protecting data but also about ensuring it can recover quickly from any disruptions, a quality known as data resilience. This resilience has become a key part of security strategies for forward-thinking businesses. Veeam emphasized “Radical Resilience” when it rolled out a new data protection initiative focused on better products, improved service and testing, continuous releases and greater accountability. Meanwhile, Rubrik introduced its security cloud, which focuses on data protection, threat analytics, security posture and cyber recovery. Cohesity, which specializes in AI-powered data security and management, is now offering features such as immutable backup snapshots and AI-driven threat detection; in 2023, it also unveiled a top-flight CEO advisory council to influence strategic decisions. Commvault has incorporated AI into its services, offering a new product that combines its SaaS and software data protection into one platform.

LogicMonitor upgraded its platform for monitoring and observability to include support for hybrid IT infrastructures. This enhancement allows for better monitoring across an organization's diverse IT environments. Additionally, Cisco has announced its intention to acquire Splunk. This acquisition will integrate Splunk's expertise in areas such as security information and event management, ransomware tools, industrial IoT vulnerability alerting, user behavior analytics and orchestration and digital experience monitoring that includes visibility into the performance of the underlying infrastructure.

Key Changes for Database Technology

Advancements in AI and ML integration are making database technology more intuitive and efficient. Oracle Database 23c features AI Vector Search, which simplifies interactions with data by using ML to identify similar objects in datasets. Oracle also introduced the Fusion Data Intelligence Platform, which combines data, analytics, AI models and apps to provide a comprehensive view of various business aspects. The platform also employs AI/ML models to automate tasks including data categorization, anomaly detection, predictive analytics for forecasting and customer segmentation, workflow optimization and robotic process automation.

In my previous discussion about IBM's partnership with AWS, a major highlight is the integration of Amazon Relational Database Service with IBM Db2. This collaboration brings a fully managed Db2 database engine to AWS's infrastructure, offering scalability and various storage options. The partnership between AWS and IBM will likely grow as the trend of companies forming more integrated and significant ecosystems continues.

Database technology also evolved with MongoDB queryable encryption features for continuous data content concealment. MongoDB Atlas Vector Search now also integrates with Amazon Bedrock, which enables developers to deploy generative AI applications on AWS more effectively. It’s also notable that Couchbase announced Capella iQ, which integrates generative AI technologies that exploit natural language processing to automatically create sample code, data sets and even unit tests. By doing this, the tool is streamlining the development process, enabling developers to focus more on high-level tasks rather than the nitty-gritty of code writing.

Leveraging Data Integration Platforms

Generative AI technologies have also improved data integration capabilities by using historical data, analyses of trends, customer behaviors and market dynamics. This advancement is particularly influential in the finance, retail and healthcare sectors, where predictive insights are critical for strategic and operational decisions. There's been a shift towards adopting data lake house architectures, which combine the features of data lakes and data warehouses to help meet the challenges of handling large, varied data types and formats, providing both scalability and efficient management. This evolution in data architecture caters to the growing complexity and volume of data in various industries.

Integrating various data sources is crucial for many companies to enhance their business operations. Software AG has introduced Super iPaaS, an evolution of the traditional integration platform as a service (iPaaS). This advanced platform is AI-enabled and designed to integrate hybrid environments, offering expansive integration capabilities. Cloudera has also made strides with new data management features that incorporate generative AI, enabling the use of unstructured data both on-premises and in cloud environments. Its hybrid approach effectively consolidates client data for better management. Informatica's intelligent data management cloud platform integrates AI and automation tools, streamlining the process of collecting, integrating, cleaning and analyzing data from diverse sources and formats. This creates an accessible data repository that benefits business intelligence and analytics.

That’s a Wrap!

In my collaborations throughout the year with various companies, one key theme has emerged in this AI-driven era – data has become even more fundamentally important for businesses. It's clear that the success of AI heavily relies on the quality of the data it uses, and AI models are effective only when the data they process is accurate, relevant and unbiased.

For example, in applications such as CRM or supply chain optimization, outcomes are directly influenced by the data’s integrity. Instances where AI failed to meet expectations could often be traced to poor data quality, whether it was incomplete, outdated or biased. This year has highlighted the necessity of not just collecting large amounts of data but ensuring its quality and relevance. Real-world experience underscores the need for strict data governance and the implementation of systems that guarantee data accuracy and fairness, all of which are essential for the effective use of AI in business.

As AI technology advances and data quality improves, the use of generative AI in understanding and engaging with customers is becoming ever more prominent. Backed by good data management, this enhances the customer experience by making the customer journey more personalized and informative. It allows businesses to gain valuable insights from customer interactions, helping them continuously refine and improve their offerings and customer relations. I expect this trend to grow, further emphasizing the role of AI in customer engagement and shaping business strategies. In fact, this symbiotic relationship between AI-driven personalization and customer engagement is becoming a cornerstone of not only data management strategy but modern business strategy overall, significantly impacting how companies connect with their customers.

Wrapping up, it's evident that the emphasis on data quality is critical for improving AI's performance. Data management, cloud services, data protection and governance, databases, data integration and intelligent platforms have all significantly contributed to the advancement of AI. In 2024, I expect we’ll see even more emphasis on ensuring the accuracy and relevance of data so that AI can provide dependable insights.

The salesforce services market is set to top US$ 13 Billion in 2022 and is predicted to expand at a stupendous CAGR of 14.4% to reach a valuation of US$ 33.5 Billion by 2029. Salesforce services currently account for a 2% share in the global IT services market. Market development is mainly forced by the increasing adoption of salesforce services in the BFSI industry.

As Salesforce services defy the ‘one-size-fits-all’ concept, service providers are offering end-to-end assistance to help end-users get services that are best suited to their requirements. With thousands of Salesforce implementations across multiple enterprises, the Salesforce service providers are extensively focusing on creating impactful experiences to generate substantial profits.

Opportunities galore for manufacturers with the increasing focus of businesses on improved customer engagement and interaction – key imperative driving growth and profitability amid competitive spaces.

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Some of the highly-effective Salesforce offerings- marketing cloud, commerce cloud, and community cloud to name a few- have gained immense popularity over the years, which is further nudging businesses to choose Salesforce services for long-term returns.

North America – A Hub of Opportunities for Service Providers:
According to the report, the increasing adoption of Salesforce services in the BFSI sector is likely to continue, making it one of the most lucrative verticals for Salesforce service vendors. Over the years, the focus of BFSI has shifted toward fruitful customer engagement in real-time and across any device. This, in turn, is pushing the demand for the adoption of Salesforce services in BFSI, thereby giving new opportunities for the Salesforce service vendors to reap profits.

Growth prospects for the Salesforce services, as the report opines, are high in North America, particularly in the US. In addition, the adoption of Salesforce services in Western Europe is estimated to intensify by the end of 2029, which is likely to encourage the vendors to solidify their service capabilities.

As far as growth and expansion are concerned, strategic business partnerships and acquisitions will continue to be the best way forward for vendors. Those alliances will lay the foundation for bespoke innovations to come to the fore, thereby creating a ‘win-win’ for both parties involved. Considering the challenges enterprises face in terms of Salesforce deployment, key service providers active in the market will continue to focus on offering unmatched support and assistance in a bid to ensure client satisfaction and engagement.

In addition, Salesforce service providers will also continue to center on getting ‘Salesforce service certifications’ to reap benefits in the long run, as these certifications will not only help them strengthen their core competencies but also expand their client bases.

Leading Key Players:
Since there are so many companies actively providing salesforce services, the nature of the market has become quite competitive. SAP SE, Oracle Corporation, Microsoft Corporation, Salesforce.com Inc., Adobe Inc., DXC Technology, Accenture PLC, IBM Corporation, Pegasystems Inc., Verint Systems Inc., Tata Consultancy Services Limited, and AT&T Inc. are some of the leading salesforce service companies.

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Salesforce Services Market Segmentation:

By Type of Service:

• Planning
  • Advisory Services
  • Change Management
• Implementation
  • Integrated Services
  • Custom Application Development
  • Application Modernisation and Data Migration
  • Testing Services
• Manage
  • Monitoring
  • Upgrade
  • Governance
  • Helpdesk
  • Training
  • BPO

By Application:

• Sales Cloud
• Service Cloud
• Marketing Cloud
• App Cloud
• Commerce Cloud
• Analytics

By Vertical:

• Salesforce Services in BFSI
• Salesforce Services in Healthcare and Life Sciences
• Salesforce Services in Media and Telecom
• Salesforce Services in Retail and CPG
• Salesforce Services in Government
• Salesforce Services in Manufacturing
• Salesforce Services in High Technology
• Salesforce Services in Energy & Utilities

By Region:

• North America
• Latin America
• Europe
• East Asia
• South Asia & Pacific
• Middle East & Africa (MEA)

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Artificial Intelligence (AI) will be used as a force for good, but only with equitable access and generative AI will help healthcare to begin a once-in-a-lifetime transformation, say experts at Salesforce, a cloud-based US software firm.

“AI presents a massive and exciting opportunity for purpose-driven organisations to better serve their communities – but adopting this technology will require funding and expertise that many resource-constrained organisations lack.

“This will be a critical new endeavor for the philanthropic community: ensuring equitable access to AI for the nonprofits that are tackling the world’s toughest social and environmental challenges,” says Becky Ferguson, CEO, Salesforce Foundation, and SVP of Philanthropy, Salesforce.

Changing the cost trajectory

“The US alone spends $3.7 trillion on healthcare, which equates to $1 trillion in administrative waste. With this in mind, my prediction is that generative AI will transform healthcare, fundamentally changing the cost trajectory of the industry. The technology will be used to create efficiencies in claim management and summarisation, turn unstructured data into insights and spot patterns to predict at-risk patients, and create new diagnosis and prevention checkpoints,” says Amit Khanna, SVP & GM, Health & Life Sciences, Salesforce.

Besides, AI will help fight the climate crisis and help sustainability reporting standards to grow up. “2023 has been a frightening year for our planet. And yet, we have promising AI-powered solutions for both climate change mitigation and climate adaptation. WeaveGrid deploys machine learning to optimally orchestrate EV charging for utilities, automakers, and drivers, while Pano AI uses AI to detect wildfires earlier,” says Claudine Emeott, Partner, Salesforce Ventures.

“Companies will increasingly face a global web of more rigorous standards due to new climate-related reporting requirements — from the recently passed SB 253 in California to the upcoming SEC climate disclosure rule to the EU’s Corporate Sustainability Reporting Directive. AI will be a crucial tool to help businesses meet these standards while reducing the burden of sustainability reporting,” says Suzanne DiBianca, EVP and Chief Impact Officer, Salesforce.

Copyright 2022 Al Hilal Publishing and Marketing Group Provided by SyndiGate Media Inc. (Syndigate.info).

Artificial Intelligence (AI) will be used as a force for good, but only with equitable access and generative AI will help healthcare to begin a once-in-a-lifetime transformation, say experts at Salesforce, a cloud-based US software firm.  

“AI presents a massive and exciting opportunity for purpose-driven organisations to better serve their communities – but adopting this technology will require funding and expertise that many resource-constrained organisations lack. 

“This will be a critical new endeavor for the philanthropic community: ensuring equitable access to AI for the nonprofits that are tackling the world’s toughest social and environmental challenges,” says Becky Ferguson, CEO, Salesforce Foundation, and SVP of Philanthropy, Salesforce.

Changing the cost trajectory

“The US alone spends $3.7 trillion on healthcare, which equates to $1 trillion in administrative waste. With this in mind, my prediction is that generative AI will transform healthcare, fundamentally changing the cost trajectory of the industry. The technology will be used to create efficiencies in claim management and summarisation, turn unstructured data into insights and spot patterns to predict at-risk patients, and create new diagnosis and prevention checkpoints,” says Amit Khanna, SVP & GM, Health & Life Sciences, Salesforce.

Besides, AI will help fight the climate crisis and help sustainability reporting standards to grow up. “2023 has been a frightening year for our planet. And yet, we have promising AI-powered solutions for both climate change mitigation and climate adaptation. WeaveGrid deploys machine learning to optimally orchestrate EV charging for utilities, automakers, and drivers, while Pano AI uses AI to detect wildfires earlier,” says Claudine Emeott, Partner, Salesforce Ventures.

“Companies will increasingly face a global web of more rigorous standards due to new climate-related reporting requirements — from the recently passed SB 253 in California to the upcoming SEC climate disclosure rule to the EU’s Corporate Sustainability Reporting Directive. AI will be a crucial tool to help businesses meet these standards while reducing the burden of sustainability reporting,” says Suzanne DiBianca, EVP and Chief Impact Officer, Salesforce.--TradeArabia News Service